Documents and questions to your knowledge: 1 credit each. Chat with any model: final per-token price — the table below is what you pay, all-inclusive.
5,000 credits
25,000 credits
100,000 credits
Fixed USD price, credits included every month, and the full platform. If you run out, top up at 1¢ per credit. Annual payment = 10 months.
Includes 25,000 credits/mo (worth $250)
Save 20% vs. one-off top-ups
Hard spend caps · live dashboard · Spanish support · 2-day activation
Includes 60,000 credits/mo (worth $600)
Save 18% vs. one-off top-ups
Hard spend caps · live dashboard · Spanish support · 2-day activation
Includes 130,000 credits/mo (worth $1300)
Save 24% vs. one-off top-ups
Hard spend caps · live dashboard · Spanish support · 2-day activation
Chatbase: $32/mo for just 10 MB · CustomGPT: from $89/mo · Azure integrator: ~$3,000/mo → Deployalo: from $199/mo, all-inclusive
Fixed USD price; CFDI issued in MXN at the exchange rate on payment day.
400 models available · final price
Prices in credits per 1M tokens. 1 credit = $0.01 USD. Billed in MXN at the exchange rate on payment day + VAT (CFDI).
| Model | Capabilities | Context | ≈ messages / 100 credits | ||
|---|---|---|---|---|---|
| AI21: Jamba Large 1.7 ai21/jamba-large-1.7 Jamba Large 1.7 is the latest model in the Jamba open family, offering improvements in grounding, instruction-following, and overall efficiency. Built on a hybrid SSM-Transformer architecture with a 256K context... Knowledge cutoff 2024-08-31 Max out 4k | Text / LLM Tools | 256k tokens | 220 | 880 | ≈ 150 |
| AionLabs: Aion-2.0 aion-labs/aion-2.0 Aion-2.0 is a variant of DeepSeek V3.2 optimized for immersive roleplaying and storytelling. It is particularly strong at introducing tension, crises, and conflict into stories, making narratives feel more engaging.... Max out 33k | Text / LLM Tools Reasoning | 131k tokens | 88 cache read 22 | 176 | ≈ 570 |
| AionLabs: Aion-3.0 aion-labs/aion-3.0 Aion-3.0 is a multi-model roleplaying and storytelling system from AionLabs, built on the GLM family of models. It uses a collaborative generation process in which multiple specialized models each contribute... Max out 33k | Text / LLM Tools Reasoning | 131k tokens | 330 cache read 83 | 660 | ≈ 150 |
| AionLabs: Aion-3.0-Mini aion-labs/aion-3.0-mini Aion-3.0 Mini is a multi-model roleplaying and storytelling system from AionLabs, built on the DeepSeek family of models. It uses a collaborative generation process in which multiple specialized models each... Max out 33k | Text / LLM Tools Reasoning | 131k tokens | 77 cache read 20 | 154 | ≈ 650 |
| AionLabs: Aion-RP 1.0 (8B) aion-labs/aion-rp-llama-3.1-8b Aion-RP-Llama-3.1-8B ranks the highest in the character evaluation portion of the RPBench-Auto benchmark, a roleplaying-specific variant of Arena-Hard-Auto, where LLMs evaluate each other’s responses. It is a fine-tuned base model... Knowledge cutoff 2023-12-31 Max out 33k | Text / LLM | 33k tokens | 88 | 176 | ≈ 570 |
| AllenAI: Olmo 3 32B Think allenai/olmo-3-32b-think Olmo 3 32B Think is a large-scale, 32-billion-parameter model purpose-built for deep reasoning, complex logic chains and advanced instruction-following scenarios. Its capacity enables strong performance on demanding evaluation tasks and... Max out 66k | Text / LLM JSON mode Reasoning | 66k tokens | 17 | 55 | ≈ 2,300 |
| Amazon: Nova 2 Lite amazon/nova-2-lite-v1 Nova 2 Lite is a fast, cost-effective reasoning model for everyday workloads that can process text, images, and videos to generate text. Nova 2 Lite demonstrates standout capabilities in processing... Max out 66k | Text / LLM Vision / OCR Video Tools Reasoning | 1000k tokens | 33 | 275 | ≈ 590 |
| Amazon: Nova Lite 1.0 amazon/nova-lite-v1 Amazon Nova Lite 1.0 is a very low-cost multimodal model from Amazon that focused on fast processing of image, video, and text inputs to generate text output. Amazon Nova Lite... Knowledge cutoff 2024-10-31 Max out 5k | Text / LLM Vision / OCR Tools | 300k tokens | 6.6 | 26 | ≈ 5,100 |
| Amazon: Nova Micro 1.0 amazon/nova-micro-v1 Amazon Nova Micro 1.0 is a text-only model that delivers the lowest latency responses in the Amazon Nova family of models at a very low cost. With a context length... Knowledge cutoff 2024-10-31 Max out 5k | Text / LLM Tools | 128k tokens | 3.9 | 15 | ≈ 8,700 |
| Amazon: Nova Premier 1.0 amazon/nova-premier-v1 Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models. Max out 32k | Text / LLM Vision / OCR Tools | 1000k tokens | 275 cache read 69 | 1,375 | ≈ 100 |
| Amazon: Nova Pro 1.0 amazon/nova-pro-v1 Amazon Nova Pro 1.0 is a capable multimodal model from Amazon focused on providing a combination of accuracy, speed, and cost for a wide range of tasks. As of December... Knowledge cutoff 2024-10-31 Max out 5k | Text / LLM Vision / OCR Tools | 300k tokens | 88 | 352 | ≈ 380 |
| Anthropic Claude Haiku Latest ~anthropic/claude-haiku-latest This model always redirects to the latest model in the Anthropic Claude Haiku family. Max out 64k | Text / LLM Vision / OCR Tools JSON mode Reasoning | 200k tokens | 110 cache read 11cache write 138 | 550 web 1,100,000 | ≈ 260 |
| Anthropic Claude Sonnet Latest ~anthropic/claude-sonnet-latest This model always redirects to the latest model in the Anthropic Claude Sonnet family. Max out 128k | Text / LLM Vision / OCR Tools JSON mode Reasoning | 1000k tokens | 220 cache read 22cache write 275 | 1,100 web 1,100,000 | ≈ 130 |
| Anthropic: Claude 3 Haiku anthropic/claude-3-haiku Claude 3 Haiku is Anthropic's fastest and most compact model for
near-instant responsiveness. Quick and accurate targeted performance.
See the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-haiku)
#multimodal Knowledge cutoff 2023-08-31 Max out 4k | Text / LLM Vision / OCR Tools | 200k tokens | 28 cache read 3.3cache write 33 | 138 web 1,100,000 | ≈ 1,000 |
| Anthropic: Claude Fable 5 anthropic/claude-fable-5 Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and... Max out 128k | Text / LLM Vision / OCR Tools JSON mode Reasoning | 1000k tokens | 1,100 cache read 110cache write 1,375 | 5,500 web 1,100,000 | ≈ 26 |
| Anthropic: Claude Fable 5 (batch) anthropic/claude-fable-5:batch Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and... Max out 128k | Text / LLM Vision / OCR Tools JSON mode Reasoning | 1000k tokens | 550 cache read 55cache write 688 | 2,750 web 1,100,000 | ≈ 52 |
| Anthropic: Claude Fable Latest ~anthropic/claude-fable-latest This model always redirects to the latest model in the Claude Fable family. Max out 128k | Text / LLM Vision / OCR Tools JSON mode Reasoning | 1000k tokens | 1,100 cache read 110cache write 1,375 | 5,500 web 1,100,000 | ≈ 26 |
| Anthropic: Claude Haiku 4.5 anthropic/claude-haiku-4.5 Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance... Max out 64k | Text / LLM Vision / OCR Tools JSON mode Reasoning | 200k tokens | 110 cache read 11cache write 138 | 550 web 1,100,000 | ≈ 260 |
| Anthropic: Claude Haiku 4.5 (batch) anthropic/claude-haiku-4.5:batch Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance... Max out 64k | Text / LLM Vision / OCR Tools JSON mode Reasoning | 200k tokens | 55 cache read 5.5cache write 69 | 275 web 1,100,000 | ≈ 520 |
| Anthropic: Claude Opus 4 anthropic/claude-opus-4 Claude Opus 4 is benchmarked as the world’s best coding model, at time of release, bringing sustained performance on complex, long-running tasks and agent workflows. It sets new benchmarks in... Knowledge cutoff 2025-01-31 Max out 32k | Text / LLM Vision / OCR Tools Reasoning | 200k tokens | 1,650 cache read 165cache write 2,063 | 8,250 web 1,100,000 | ≈ 17 |
| Anthropic: Claude Opus 4.1 anthropic/claude-opus-4.1 Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains... Knowledge cutoff 2025-01-31 Max out 32k | Text / LLM Vision / OCR Tools Reasoning | 200k tokens | 1,650 cache read 165cache write 2,063 | 8,250 web 1,100,000 | ≈ 17 |
| Anthropic: Claude Opus 4.1 (batch) anthropic/claude-opus-4.1:batch Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains... Knowledge cutoff 2025-01-31 Max out 32k | Text / LLM Vision / OCR Tools JSON mode Reasoning | 200k tokens | 825 cache read 83cache write 1,031 | 4,125 web 1,100,000 | ≈ 35 |
| Anthropic: Claude Opus 4.5 anthropic/claude-opus-4.5 Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and... Max out 64k | Text / LLM Vision / OCR Tools JSON mode Reasoning | 200k tokens | 550 cache read 55cache write 688 | 2,750 web 1,100,000 | ≈ 52 |
| Anthropic: Claude Opus 4.5 (batch) anthropic/claude-opus-4.5:batch Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and... Max out 64k | Text / LLM Vision / OCR Tools JSON mode Reasoning | 200k tokens | 275 cache read 28cache write 344 | 1,375 web 1,100,000 | ≈ 100 |
| Anthropic: Claude Opus 4.6 anthropic/claude-opus-4.6 Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective... Max out 128k | Text / LLM Vision / OCR Tools JSON mode Reasoning | 1000k tokens | 550 cache read 55cache write 688 | 2,750 web 1,100,000 | ≈ 52 |
| Anthropic: Claude Opus 4.6 (batch) anthropic/claude-opus-4.6:batch Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective... Max out 128k | Text / LLM Vision / OCR Tools JSON mode Reasoning | 1000k tokens | 275 cache read 28cache write 344 | 1,375 web 1,100,000 | ≈ 100 |
| Anthropic: Claude Opus 4.7 anthropic/claude-opus-4.7 Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on... Max out 128k | Text / LLM Vision / OCR Tools JSON mode Reasoning | 1000k tokens | 550 cache read 55cache write 688 | 2,750 web 1,100,000 | ≈ 52 |
| Anthropic: Claude Opus 4.7 (batch) anthropic/claude-opus-4.7:batch Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on... Max out 128k | Text / LLM Vision / OCR Tools JSON mode Reasoning | 1000k tokens | 275 cache read 28cache write 344 | 1,375 web 1,100,000 | ≈ 100 |
| Anthropic: Claude Opus 4.7 (Fast) anthropic/claude-opus-4.7-fast Fast-mode variant of [Opus 4.7](/anthropic/claude-opus-4.7) - identical capabilities with higher output speed at premium 6x pricing.
Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode Max out 128k | Text / LLM Vision / OCR Tools JSON mode Reasoning | 1000k tokens | 3,300 cache read 330cache write 4,125 | 16,500 web 1,100,000 | ≈ 9 |
| Anthropic: Claude Opus 4.8 anthropic/claude-opus-4.8 Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token... Max out 128k | Text / LLM Vision / OCR Tools JSON mode Reasoning | 1000k tokens | 550 cache read 55cache write 688 | 2,750 web 1,100,000 | ≈ 52 |
| Anthropic: Claude Opus 4.8 (batch) anthropic/claude-opus-4.8:batch Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token... Max out 128k | Text / LLM Vision / OCR Tools JSON mode Reasoning | 1000k tokens | 275 cache read 28cache write 344 | 1,375 web 1,100,000 | ≈ 100 |
| Anthropic: Claude Opus 4.8 (Fast) anthropic/claude-opus-4.8-fast Fast-mode variant of [Opus 4.8](/anthropic/claude-opus-4.8) - identical capabilities with higher output speed at 2x pricing relative to regular Opus 4.8.
Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode Max out 128k | Text / LLM Vision / OCR Tools JSON mode Reasoning | 1000k tokens | 1,100 cache read 110cache write 1,375 | 5,500 web 1,100,000 | ≈ 26 |
| Anthropic: Claude Opus Latest ~anthropic/claude-opus-latest This model always redirects to the latest model in the Claude Opus family. Max out 128k | Text / LLM Vision / OCR Tools JSON mode Reasoning | 1000k tokens | 550 cache read 55cache write 688 | 2,750 web 1,100,000 | ≈ 52 |
| Anthropic: Claude Sonnet 4 anthropic/claude-sonnet-4 Claude Sonnet 4 significantly enhances the capabilities of its predecessor, Sonnet 3.7, excelling in both coding and reasoning tasks with improved precision and controllability. Achieving state-of-the-art performance on SWE-bench (72.7%),... Knowledge cutoff 2025-01-31 Max out 64k | Text / LLM Vision / OCR Tools Reasoning | 1000k tokens | 330 cache read 33cache write 413 | 1,650 web 1,100,000 | ≈ 87 |
| Anthropic: Claude Sonnet 4.5 anthropic/claude-sonnet-4.5 Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with... Knowledge cutoff 2025-01-31 Max out 64k | Text / LLM Vision / OCR Tools JSON mode Reasoning | 1000k tokens | 330 cache read 33cache write 413 | 1,650 web 1,100,000 | ≈ 87 |
| Anthropic: Claude Sonnet 4.5 (batch) anthropic/claude-sonnet-4.5:batch Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with... Knowledge cutoff 2025-01-31 Max out 64k | Text / LLM Vision / OCR Tools JSON mode Reasoning | 1000k tokens | 165 cache read 17cache write 206 | 825 web 1,100,000 | ≈ 170 |
| Anthropic: Claude Sonnet 4.6 anthropic/claude-sonnet-4.6 Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with... Max out 128k | Text / LLM Vision / OCR Tools JSON mode Reasoning | 1000k tokens | 330 cache read 33cache write 413 | 1,650 web 1,100,000 | ≈ 87 |
| Anthropic: Claude Sonnet 4.6 (batch) anthropic/claude-sonnet-4.6:batch Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with... Max out 128k | Text / LLM Vision / OCR Tools JSON mode Reasoning | 1000k tokens | 165 cache read 17cache write 206 | 825 web 1,100,000 | ≈ 170 |
| Anthropic: Claude Sonnet 5 anthropic/claude-sonnet-5 Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max,... Max out 128k | Text / LLM Vision / OCR Tools JSON mode Reasoning | 1000k tokens | 220 cache read 22cache write 275 | 1,100 web 1,100,000 | ≈ 130 |
| Anthropic: Claude Sonnet 5 (batch) anthropic/claude-sonnet-5:batch Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max,... Max out 128k | Text / LLM Vision / OCR Tools JSON mode Reasoning | 1000k tokens | 110 cache read 11cache write 138 | 550 web 1,100,000 | ≈ 260 |
| Arcee AI: Trinity Large Thinking arcee-ai/trinity-large-thinking Trinity Large Thinking is a powerful open source reasoning model from the team at Arcee AI. It shows strong performance in PinchBench, agentic workloads, and reasoning tasks. Launch video: https://youtu.be/Gc82AXLa0Rg?si=4RLn6WBz33qT--B7... Max out 262k | Text / LLM Tools JSON mode Reasoning | 262k tokens | 24 cache read 6.6 | 94 | ≈ 1,400 |
| Arcee AI: Virtuoso Large arcee-ai/virtuoso-large Virtuoso‑Large is Arcee's top‑tier general‑purpose LLM at 72 B parameters, tuned to tackle cross‑domain reasoning, creative writing and enterprise QA. Unlike many 70 B peers, it retains the 128 k... Knowledge cutoff 2025-03-31 Max out 64k | Text / LLM Tools | 131k tokens | 83 | 132 | ≈ 670 |
| Auto Router openrouter/auto Your prompt will be processed by a meta-model and routed to one of dozens of models (see below), optimizing for the best possible output. To see which model was used,... | Text / LLM Image Vision / OCR Audio Video Tools JSON mode Reasoning | 2000k tokens | 0 | 0 | — |
| Auto Router (Beta) openrouter/auto-beta Auto Router (Beta) is a task-aware router from OpenRouter. It classifies each request, then routes it the [most popular model](/rankings#task-spend) for that task based on aggregate spend, filtered by your... | Text / LLM Image Vision / OCR Audio Video Tools JSON mode Reasoning | 2000k tokens | 0 | 0 | — |
| Baidu: ERNIE 4.5 VL 424B A47B baidu/ernie-4.5-vl-424b-a47b ERNIE-4.5-VL-424B-A47B is a multimodal Mixture-of-Experts (MoE) model from Baidu’s ERNIE 4.5 series, featuring 424B total parameters with 47B active per token. It is trained jointly on text and image data... Knowledge cutoff 2025-03-31 Max out 16k | Text / LLM Vision / OCR Reasoning | 123k tokens | 46 | 138 | ≈ 870 |
| Body Builder (beta) openrouter/bodybuilder Transform your natural language requests into structured OpenRouter API request objects. Describe what you want to accomplish with AI models, and Body Builder will construct the appropriate API calls. Example:... | Text / LLM | 128k tokens | 0 | 0 | — |
| ByteDance Seed: Seed 1.6 bytedance-seed/seed-1.6 Seed 1.6 is a general-purpose model released by the ByteDance Seed team. It incorporates multimodal capabilities and adaptive deep thinking with a 256K context window. Max out 33k | Text / LLM Vision / OCR Video Tools JSON mode Reasoning | 262k tokens | 28 | 220 | ≈ 730 |
| ByteDance Seed: Seed 1.6 Flash bytedance-seed/seed-1.6-flash Seed 1.6 Flash is an ultra-fast multimodal deep thinking model by ByteDance Seed, supporting both text and visual understanding. It features a 256k context window and can generate outputs of... Max out 33k | Text / LLM Vision / OCR Video Tools JSON mode Reasoning | 262k tokens | 8.3 | 33 | ≈ 4,000 |
| ByteDance Seed: Seed-2.0-Lite bytedance-seed/seed-2.0-lite Seed-2.0-Lite is a versatile, cost‑efficient enterprise workhorse that delivers strong multimodal and agent capabilities while offering noticeably lower latency, making it a practical default choice for most production workloads across... Max out 131k | Text / LLM Vision / OCR Video Tools JSON mode Reasoning | 262k tokens | 28 | 220 | ≈ 730 |
| ByteDance Seed: Seed-2.0-Mini bytedance-seed/seed-2.0-mini Seed-2.0-mini targets latency-sensitive, high-concurrency, and cost-sensitive scenarios, emphasizing fast response and flexible inference deployment. It delivers performance comparable to ByteDance-Seed-1.6, supports 256k context, four reasoning effort modes (minimal/low/medium/high), multimodal understanding,... Max out 131k | Text / LLM Vision / OCR Video Tools JSON mode Reasoning | 262k tokens | 11 | 44 | ≈ 3,000 |
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