Mistral Large 2 (2407) vs Mistral Medium 3.5
Mistral Large 2 (2407) (2024) and Mistral Medium 3.5 (2026) are frontier reasoning models from MistralAI. Mistral Large 2 (2407) ships a 128k-token context window, while Mistral Medium 3.5 ships a 256k-token context window. On pricing, Mistral Large 2 (2407) costs $0.50/1M input tokens versus $1.50/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Mistral Large 2 (2407) is ~200% cheaper at $0.50/1M; pay for Mistral Medium 3.5 only for reasoning depth.
Decision scorecard
Local evidence first| Signal | Mistral Large 2 (2407) | Mistral Medium 3.5 |
|---|---|---|
| Best for | multimodal apps and provider-routed production | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | RAG, Long context, and Vision | Coding, RAG, and Agents |
| Context window | 128k | 256k |
| Cheapest output | $1.50/1M tokens | $7.50/1M tokens |
| Provider routes | 3 tracked | 3 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Mistral Large 2 (2407) has the lower cheapest tracked output price at $1.50/1M tokens.
- Local decision data tags Mistral Large 2 (2407) for RAG, Long context, and Vision.
- Mistral Medium 3.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Medium 3.5 uniquely exposes Multimodal, Reasoning, and Function calling in local model data.
- Local decision data tags Mistral Medium 3.5 for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Mistral Large 2 (2407)
$775
Cheapest tracked route/tier: Chutes AI
Mistral Medium 3.5
$3,075
Cheapest tracked route/tier: Mistral AI Studio
Estimated monthly gap: $2,300. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Mistral Large 2 (2407) and Mistral Medium 3.5; plan for SDK, billing, or endpoint changes.
- Mistral Medium 3.5 is $6/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Mistral Medium 3.5 adds Multimodal, Reasoning, and Function calling in local capability data.
- No overlapping tracked provider route is sourced for Mistral Medium 3.5 and Mistral Large 2 (2407); plan for SDK, billing, or endpoint changes.
- Mistral Large 2 (2407) is $6/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Multimodal, Reasoning, and Function calling before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-07-23 | 2026-04-29 |
| Context window | 128k | 256k |
| Parameters | 123B | 128B |
| Architecture | Decoder Only | Decoder Only |
| License | Mistral License | Proprietary |
| Openness | Open weights | Proprietary |
| Commercial use | Commercial use: non-commercial | Commercial use: conditional |
| Knowledge cutoff | 2024-03 | - |
Pricing and availability
| Pricing attribute | Mistral Large 2 (2407) | Mistral Medium 3.5 |
|---|---|---|
| Input price | $0.50/1M tokens | $1.50/1M tokens |
| Output price | $1.50/1M tokens | $7.50/1M tokens |
| Providers |
Capabilities
| Capability | Mistral Large 2 (2407) | Mistral Medium 3.5 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | No | Yes |
| Reasoning | No | Yes |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint differs most on multimodal input: Mistral Medium 3.5, reasoning mode: Mistral Medium 3.5, function calling: Mistral Medium 3.5, and tool use: Mistral Medium 3.5. Both models share vision and structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, Mistral Large 2 (2407) lists $0.50/1M input and $1.50/1M output tokens on the cheapest tracked provider, while Mistral Medium 3.5 lists $1.50/1M input and $7.50/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mistral Large 2 (2407) lower by about $2.50 per million blended tokens. Availability is 3 providers versus 3, so concentration risk also matters.
Choose Mistral Large 2 (2407) when vision-heavy evaluation and lower input-token cost are central to the workload. Choose Mistral Medium 3.5 when reasoning depth and larger context windows are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions.
FAQ
Which has a larger context window, Mistral Large 2 (2407) or Mistral Medium 3.5?
Mistral Medium 3.5 supports 256k tokens, while Mistral Large 2 (2407) supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Mistral Large 2 (2407) or Mistral Medium 3.5?
Mistral Large 2 (2407) is cheaper on tracked token pricing. Mistral Large 2 (2407) costs $0.50/1M input and $1.50/1M output tokens. Mistral Medium 3.5 costs $1.50/1M input and $7.50/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Mistral Large 2 (2407) or Mistral Medium 3.5 open source?
Mistral Large 2 (2407) is listed under Mistral License. Mistral Medium 3.5 is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, Mistral Large 2 (2407) or Mistral Medium 3.5?
Both Mistral Large 2 (2407) and Mistral Medium 3.5 expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for multimodal input, Mistral Large 2 (2407) or Mistral Medium 3.5?
Mistral Medium 3.5 has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Mistral Large 2 (2407) and Mistral Medium 3.5?
Mistral Large 2 (2407) is available on Microsoft Foundry, Chutes AI, and SiliconFlow. Mistral Medium 3.5 is available on Mistral AI Studio, OpenRouter, and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-16. Data sourced from public model cards and provider documentation.