Anthropic's model for the most demanding reasoning and long-horizon agentic work. 1M-token context window, up to 128K output tokens, adaptive thinking that is always on.
The most capable model of Anthropic's Opus 4 series. State of the art on long-horizon agentic work, coding and knowledge tasks, with a 1M-token context window at standard pricing.
Anthropic's current Opus model for long-running agentic coding and knowledge work. 1M-token context window, up to 128K output tokens, adaptive thinking that is always on.
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About Mistral Large
TL;DRAs of September 23, 2026
Mistral Large is a model by Mistral AI in the Text & chat category. Mistral Large is currently not available on Railwail. The context window holds 128,000 tokens, and one response can be up to 8,192 tokens long.
Background
About Mistral AI
Founded 2023 · Paris, France
Mistral AI was founded in April 2023 in Paris by Arthur Mensch (former Google DeepMind research scientist, now CEO), Guillaume Lample (former Meta FAIR researcher, co-author of LLaMA) and Timothee Lacroix. The company is widely regarded as Europe's flagship frontier AI lab and has championed an open-weights strategy alongside premier commercial models. Mistral became one of the fastest companies to reach unicorn status, raising EUR 105M in seed funding in June 2023 followed by EUR 385M Series A in December 2023 and a EUR 600M Series B in June 2024 at a EUR 5.8B valuation. Investors include Andreessen Horowitz, Lightspeed, General Catalyst, Bpifrance, BNP Paribas, NVIDIA and Salesforce. Mistral has released Mistral 7B (Sep 2023), Mixtral 8x7B and 8x22B Mixture-of-Experts models (Dec 2023 / Apr 2024), the Mistral Large flagship (Feb 2024) and Mistral Large 2 (124B params, July 2024). The company also ships Codestral for code, Pixtral for vision, Mistral Nemo (in partnership with NVIDIA) and Le Chat, a consumer assistant. Partnerships include Microsoft Azure, AWS Bedrock, Vertex AI and a strategic deal with the French government.
Mistral Large is Mistral AI's flagship dense Transformer family. The original Mistral Large launched in February 2024 with 32K context. Mistral Large 2 followed in July 2024 with 123B parameters, a 128K context window and significantly improved code and reasoning capability. It is a decoder-only Transformer pretrained on a multi-trillion-token corpus emphasising high-quality multilingual web text, code repositories (80+ programming languages), books and scientific papers. Mistral has been a vocal advocate for European data and language coverage, with first-class performance on French, German, Spanish, Italian, Portuguese, Dutch, Russian, Chinese, Japanese and Korean. Post-training applies supervised fine-tuning followed by Direct Preference Optimisation (DPO) on a high-quality, multi-domain preference dataset. The model supports function calling, JSON mode, parallel tool calls and structured output. Mistral Large 2 weights are published under the Mistral Research License for non-commercial research, with a separate commercial license required for production deployment. Mistral also makes the model available through Le Plateforme (their API), Azure AI Studio, Amazon Bedrock, Google Vertex AI, IBM watsonx and Snowflake Cortex.
Parameters
123B (Mistral Large 2; original Mistral Large undisclosed)
Available via Le Plateforme, Azure, Bedrock, Vertex AI, IBM watsonx and Snowflake
Weights downloadable under Mistral Research License
Open ecosystem with vLLM, llama.cpp, HuggingFace support
European data residency option for regulated industries
Best for: enterprise European deployments, multilingual chat, coding assistants, GDPR-sensitive workloads.
Training & license
Multi-trillion-token pretraining mixture of curated multilingual web text (heavy emphasis on European languages), code repositories spanning 80+ languages, scientific papers and books. Knowledge cutoff is approximately mid-2024 for Mistral Large 2.
License: Dual license: Mistral Research License (non-commercial research) for downloadable weights; Mistral Commercial License required for production use. Also available via API and cloud-marketplace endpoints.
Safety testing: Mistral applies supervised safety training and DPO with safety preferences. The company's stated philosophy favours steerability and minimal default refusals; third-party evaluations have noted lower refusal rates than US frontier labs.
Known limitations
Lower refusal rate can yield unsafe outputs without system-prompt guardrails
No native vision in the base Mistral Large 2 model (use Pixtral for vision)
Smaller real-world deployment base than OpenAI/Anthropic
123B (Mistral Large 2; original Mistral Large undisclosed)
License
Dual license: Mistral Research License (non-commercial research) for downloadable weights; Mistral Commercial License required for production use. Also available via API and cloud-marketplace endpoints.
Catalog entry updated
September 23, 2026
Tags
multilingual
coding
07
Example prompts
Examples from the Railwail catalog. They were not generated live on this page.
Multilingual Writing
Write a short product description for a smartwatch in English, then translate it to French and German
Show example answer
English: The AuraFit Pro tracks your heart rate, sleep, and workouts with medical-grade accuracy. Its always-on AMOLED display and 7-day battery life keep you connected without compromise.
French: L'AuraFit Pro suit votre fréquence cardiaque, votre sommeil et vos entraînements avec une précision de qualité médicale. Son écran AMOLED toujours actif et son autonomie de 7 jours vous gardent connecté sans compromis.
Deutsch: Die AuraFit Pro überwacht Herzfrequenz, Schlaf und Training mit medizinischer Präzision. Das Always-on-AMOLED-Display und die 7-Tage-Akkulaufzeit halten Sie ohne Kompromisse verbunden.
Technical Documentation
Write a brief API documentation entry for a POST /users endpoint that creates a new user
Show example answer
## POST /users
Creates a new user account.
**Request Body:**
```json
{ "email": "string (required)", "name": "string (required)", "password": "string (required, min 8 chars)" }
```
**Response 201:**
```json
{ "id": "uuid", "email": "string", "name": "string", "createdAt": "ISO 8601" }
```
**Errors:** 400 (validation failed), 409 (email already exists), 500 (internal error).
Rate limit: 10 requests per minute per IP.
Mistral Large is a model by Mistral AI in the Text & chat category. It is listed on Railwail but cannot be run at the moment.
How much does Mistral Large cost on Railwail?
Mistral Large cannot be run on Railwail at the moment, so there is no current price. Available alternatives with prices are listed further down this page.
What is the context window of Mistral Large?
The context window of Mistral Large holds 128,000 tokens. One response can be up to 8,192 tokens long.
How fast is Mistral Large?
There are not enough measured runs of Mistral Large on Railwail yet to state a run time. It depends on the input, the settings and the load at the provider.
Is Mistral Large better than Claude Fable 5.1?
That depends on the task. Mistral Large (Mistral AI) and Claude Fable 5.1 (Anthropic) are both models in the Text & chat category. The comparison page shows their prices and specifications side by side.
