Mistral Large vs Mistral Medium 3 Instruct
Mistral Large (2024) and Mistral Medium 3 Instruct (2025) are compact production models from MistralAI. Mistral Large ships a 32k-token context window, while Mistral Medium 3 Instruct ships a 128k-token context window. On pricing, Mistral Large costs $0.32/1M input tokens versus $0.40/1M 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 Medium 3 Instruct fits 4x more tokens; pick it for long-context work and Mistral Large for tighter calls.
Decision scorecard
Local evidence first| Signal | Mistral Large | Mistral Medium 3 Instruct |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and provider-routed production | multimodal apps and provider-routed production |
| Decision fit | Agents, Vision, and Classification | Long context and Vision |
| Context window | 32k | 128k |
| Cheapest output | $0.96/1M tokens | $2/1M tokens |
| Provider routes | 8 tracked | 2 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Mistral Large has the lower cheapest tracked output price at $0.96/1M tokens.
- Mistral Large has broader tracked provider coverage for fallback and procurement flexibility.
- Mistral Large uniquely exposes Function calling, Tool use, and Structured outputs in local model data.
- Local decision data tags Mistral Large for Agents, Vision, and Classification.
- Mistral Medium 3 Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Medium 3 Instruct uniquely exposes Multimodal in local model data.
- Local decision data tags Mistral Medium 3 Instruct for Long context and Vision.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Mistral Large
$496
Cheapest tracked route/tier: GCP Vertex AI
Mistral Medium 3 Instruct
$820
Cheapest tracked route/tier: Mistral AI Studio
Estimated monthly gap: $324. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on NVIDIA NIM and Mistral AI Studio; start route-level A/B tests there.
- Mistral Medium 3 Instruct is $1.04/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Function calling, Tool use, and Structured outputs before moving production traffic.
- Mistral Medium 3 Instruct adds Multimodal in local capability data.
- Provider overlap exists on NVIDIA NIM and Mistral AI Studio; start route-level A/B tests there.
- Mistral Large is $1.04/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Multimodal before moving production traffic.
- Mistral Large adds Function calling, Tool use, and Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-02-08 | 2025-10-01 |
| Context window | 32k | 128k |
| Parameters | 123B | — |
| Architecture | - | Decoder Only |
| License | Mistral License | Proprietary |
| Openness | Open weights | Proprietary |
| Commercial use | Commercial use: non-commercial | Commercial use: conditional |
| Knowledge cutoff | 2024-03 | 2025-03 |
Pricing and availability
| Pricing attribute | Mistral Large | Mistral Medium 3 Instruct |
|---|---|---|
| Input price | $0.32/1M tokens | $0.40/1M tokens |
| Output price | $0.96/1M tokens | $2/1M tokens |
| Providers |
Capabilities
| Capability | Mistral Large | Mistral Medium 3 Instruct |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | No |
| 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 Instruct, function calling: Mistral Large, tool use: Mistral Large, and structured outputs: Mistral Large. Both models share vision, 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 lists $0.32/1M input and $0.96/1M output tokens on the cheapest tracked provider, while Mistral Medium 3 Instruct lists $0.40/1M input and $2/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mistral Large lower by about $0.37 per million blended tokens. Availability is 8 providers versus 2, so concentration risk also matters.
Choose Mistral Large when vision-heavy evaluation, lower input-token cost, and broader provider choice are central to the workload. Choose Mistral Medium 3 Instruct when long-context analysis 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 or Mistral Medium 3 Instruct?
Mistral Medium 3 Instruct supports 128k tokens, while Mistral Large supports 32k 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 or Mistral Medium 3 Instruct?
Mistral Large is cheaper on tracked token pricing. Mistral Large costs $0.32/1M input and $0.96/1M output tokens. Mistral Medium 3 Instruct costs $0.40/1M input and $2/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Mistral Large or Mistral Medium 3 Instruct open source?
Mistral Large is listed under Mistral License. Mistral Medium 3 Instruct 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 or Mistral Medium 3 Instruct?
Both Mistral Large and Mistral Medium 3 Instruct 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 or Mistral Medium 3 Instruct?
Mistral Medium 3 Instruct 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 and Mistral Medium 3 Instruct?
Mistral Large is available on NVIDIA NIM, Microsoft Foundry, AWS Bedrock, Mistral AI Studio, and IBM watsonx. Mistral Medium 3 Instruct is available on NVIDIA NIM and Mistral AI Studio. 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.