DeepSeek V3 vs Mistral Small 3.1 24B Instruct
DeepSeek V3 (2024) and Mistral Small 3.1 24B Instruct (2025) are compact production models from DeepSeek and MistralAI. DeepSeek V3 ships a 64k-token context window, while Mistral Small 3.1 24B Instruct ships a 128k-token context window. On pricing, both list $0.10/1M input and $0.30/1M output tokens on the cheapest tracked route. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Mistral Small 3.1 24B Instruct is safer overall; choose DeepSeek V3 when provider fit matters.
Decision scorecard
Local evidence first| Signal | DeepSeek V3 | Mistral Small 3.1 24B Instruct |
|---|---|---|
| Best for | tool-calling agents and provider-routed production | multimodal apps and provider-routed production |
| Decision fit | Coding, Agents, and Classification | RAG, Long context, and Vision |
| Context window | 64k | 128k |
| Cheapest output | $0.30/1M tokens | $0.30/1M tokens |
| Provider routes | 13 tracked | 6 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- DeepSeek V3 has broader tracked provider coverage for fallback and procurement flexibility.
- DeepSeek V3 uniquely exposes Function calling and Tool use in local model data.
- Local decision data tags DeepSeek V3 for Coding, Agents, and Classification.
- Mistral Small 3.1 24B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Small 3.1 24B Instruct uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags Mistral Small 3.1 24B Instruct for RAG, Long context, and Vision.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
DeepSeek V3
$155
Cheapest tracked route/tier: Bitdeer AI
Mistral Small 3.1 24B Instruct
$155
Cheapest tracked route/tier: Together AI
Estimated monthly gap: $0.00. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter, Fireworks AI, and NVIDIA NIM; start route-level A/B tests there.
- Cheapest tracked output pricing is tied, so migration risk shifts to quality, latency, and provider packaging.
- Check replacement coverage for Function calling and Tool use before moving production traffic.
- Mistral Small 3.1 24B Instruct adds Vision and Multimodal in local capability data.
- Provider overlap exists on Fireworks AI, OpenRouter, and NVIDIA NIM; start route-level A/B tests there.
- Cheapest tracked output pricing is tied, so migration risk shifts to quality, latency, and provider packaging.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
- DeepSeek V3 adds Function calling and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-12-26 | 2025-12-15 |
| Context window | 64k | 128k |
| Parameters | 671B | 24B |
| Architecture | mixture of experts | dense |
| License | MIT(OSI) | Apache 2.0(OSI) |
| Openness | Open source | Open source |
| Commercial use | Commercial use allowed | Commercial use allowed |
| Knowledge cutoff | 2024-04 | 2023-10 |
Pricing and availability
| Pricing attribute | DeepSeek V3 | Mistral Small 3.1 24B Instruct |
|---|---|---|
| Input price | $0.10/1M tokens | $0.10/1M tokens |
| Output price | $0.30/1M tokens | $0.30/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V3 | Mistral Small 3.1 24B Instruct |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Mistral Small 3.1 24B Instruct, multimodal input: Mistral Small 3.1 24B Instruct, function calling: DeepSeek V3, and tool use: DeepSeek V3. Both models share 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, DeepSeek V3 lists $0.10/1M input and $0.30/1M output tokens on the cheapest tracked provider, while Mistral Small 3.1 24B Instruct lists $0.10/1M input and $0.30/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend is tied on the cheapest tracked routes. Availability is 13 providers versus 6, so concentration risk also matters.
Choose DeepSeek V3 when provider fit and broader provider choice are central to the workload. Choose Mistral Small 3.1 24B 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, DeepSeek V3 or Mistral Small 3.1 24B Instruct?
Mistral Small 3.1 24B Instruct supports 128k tokens, while DeepSeek V3 supports 64k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, DeepSeek V3 or Mistral Small 3.1 24B Instruct?
Neither is cheaper on tracked token pricing. Both list $0.10/1M input and $0.30/1M output tokens on the cheapest tracked route. Provider discounts, batch pricing, or route-specific tiers can still change the final bill.
Is DeepSeek V3 or Mistral Small 3.1 24B Instruct open source?
DeepSeek V3 is listed under MIT. Mistral Small 3.1 24B Instruct is listed under Apache 2.0. 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, DeepSeek V3 or Mistral Small 3.1 24B Instruct?
Mistral Small 3.1 24B Instruct has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, DeepSeek V3 or Mistral Small 3.1 24B Instruct?
Mistral Small 3.1 24B 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 DeepSeek V3 and Mistral Small 3.1 24B Instruct?
DeepSeek V3 is available on DeepInfra, Fireworks AI, DeepSeek Platform, Microsoft Foundry, and OpenRouter. Mistral Small 3.1 24B Instruct is available on Cloudflare Workers AI, OpenRouter, Fireworks AI, NVIDIA NIM, and Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.