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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03
Om Mistral Large
Kort sagtPer 23. september 2026
Mistral Large er en modell fra Mistral AI i kategorien Tekst og chat. Mistral Large er for øyeblikket ikke tilgjengelig på Railwail. Kontekstvinduet inneholder 128 000 tokens, og ett svar kan være opptil 8 192 tokens langt.
Bakgrunn
Om Mistral AI
Grunnlagt 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.
Parametere
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.
Trening og lisens
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.
Lisens: 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.
Sikkerhetstesting: 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.
Kjente begrensninger
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)
Lisens
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.
Katalogoppføring oppdatert
23. september 2026
Merkelapper
multilingual
coding
07
Eksempelprompts
Eksempler fra Railwail-katalogen. De ble ikke generert live på denne siden.
Multilingual Writing
Write a short product description for a smartwatch in English, then translate it to French and German
Vis eksempelsvar
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
Vis eksempelsvar
## 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 er en modell fra Mistral AI i kategorien Tekst og chat. Den er oppført på Railwail, men kan ikke kjøres for øyeblikket.
Hvor mye koster Mistral Large på Railwail?
Mistral Large kan ikke kjøres på Railwail for øyeblikket, så det finnes ingen gjeldende pris. Tilgjengelige alternativer med priser er oppført lenger ned på denne siden.
Hvor stort er kontekstvinduet til Mistral Large?
Kontekstvinduet til Mistral Large inneholder 128 000 tokens. Ett svar kan være opptil 8 192 tokens langt.
Hvor rask er Mistral Large?
Det finnes ennå ikke nok målte kjøringer av Mistral Large på Railwail til å angi en kjøretid. Det avhenger av inndataene, innstillingene og belastningen hos leverandøren.
Er Mistral Large bedre enn Claude Fable 5.1?
Det avhenger av oppgaven. Mistral Large (Mistral AI) og Claude Fable 5.1 (Anthropic) er begge modeller i kategorien Tekst og chat. Sammenligningssiden viser prisene og spesifikasjonene deres side ved side.
