Mistral Large 2
Released
2025-11-25
Last refreshed
2026-05-11
Status
Researched 42d ago
MultimodalCodingRAGAgentsLong contextVisionClassificationJSON / Tool use
Mistral Large 2 is worth evaluating for coding, rag, and agents when its provider route and context window match the workload.
Use it for
- Teams evaluating coding, rag, and agents
- Workloads that can use a 128k context window
- Buyers comparing 4 tracked provider routes
Do not use it for
- Workloads where another current model has stronger sourced task evidence
Specifications
- Family
- Mistral Large
- Released
- 2025-11-25
- Context
- 128k
- Parameters
- 123B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2025-07
- Specialization
- general
- Training
- finetuned
Created by
Pricing
Output / 1M
$1.50
Input / 1M
$0.500
Cheapest of 4 routes · OpenRouter
Links
About
Advanced reasoning and coding model, multilingual with native function calling and JSON output
Mistral Large 2 is a model in the Mistral Large family. The structured metadata tracks a 128k-token context window, multimodal input, function calling, tool use, and structured outputs. This page tracks provider routes through OpenRouter, IBM watsonx, AWS Bedrock, and 1 more, with the cheapest tracked route listed at $0.48 input and $2.4 output per 1M tokens. Headline tracked benchmarks include HellaSwag 93.8, HumanEval 84.8, and Massive Multitask Language Understanding 84.0.
Top use-case fit: coding, agents, and build tasks
Coding
Q/$ C1 relevant benchmark in the decision map.
RAG
Included by capability and metadata signals in the decision map.
Agents
Included by capability and metadata signals in the decision map.
Provider price ladder
Compare all 4Compare API pricing across 4 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Batch in / out | Route |
|---|---|---|---|---|
| OpenRouter | $0.500 | $1.50 | - | Serverless |
| AWS Bedrock | $0.480 | $2.40 | - | Serverless |
| IBM watsonx | $2.00 | $6.00 | - | Serverless |
| Mistral AI Studio | - | - | $1.00 / $3.00 | ServerlessPartial |
Capabilities
VisionMultimodalFunction CallingTool UseStructured Outputs
Benchmark peer barsfor Coding
HumanEvalRank 26 of 86
Benchmark scores(6)
Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
| Benchmark | Score | Version | Source |
|---|---|---|---|
| HellaSwag | 93.8 | 10-shot | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| HumanEval | 84.8 | pass@1 | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| Massive Multitask Language Understanding | 84.0 | 5-shot | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| Chatbot Arena | 1265.0 | — | https://lmarena.ai |
| BFCL | 38.4 | — | https://gorilla.cs.berkeley.edu/leaderboard.html |
| MMLU PRO | 69.7 | — | https://huggingface.co/spaces/TIGER-Lab/MMLU-Pro |
Migration checks
No linked migration route is available for this model yet.
Rankings & picks(10)
Best LLMs for Code GenerationListedBest LLMs for RAGListedBest AI Agents & Agentic ModelsListedBest LLMs for ClassificationListedBest Open Source LLMsListedBest Multimodal / Vision LLMsListedBest LLMs for Function Calling & Tool UseListedCheapest LLM APIs You Can Call Right NowListedBest Long Context LLMsListedBest Mainstream LLM APIs, RankedListed
Comparison and alternatives
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