LLM Reference

DeepSeek V3 vs Mistral Small 3

DeepSeek V3 (2024) and Mistral Small 3 (2025) are compact production models from DeepSeek and MistralAI. DeepSeek V3 ships a 64k-token context window, while Mistral Small 3 ships a 33k-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 is safer overall; choose DeepSeek V3 when long-context analysis matters.

Decision scorecard

Local evidence first
SignalDeepSeek V3Mistral Small 3
Best fortool-calling agents and provider-routed productiontool-calling agents and provider-routed production
Decision fitCoding, Agents, and ClassificationAgents, Classification, and JSON / Tool use
Context window64k33k
Cheapest output$0.30/1M tokens$0.30/1M tokens
Provider routes13 tracked2 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose DeepSeek V3 when...
  • DeepSeek V3 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • DeepSeek V3 has broader tracked provider coverage for fallback and procurement flexibility.
  • Local decision data tags DeepSeek V3 for Coding, Agents, and Classification.
Choose Mistral Small 3 when...
  • Local decision data tags Mistral Small 3 for Agents, Classification, and JSON / Tool use.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Same estimate Tie

DeepSeek V3

$155

Cheapest tracked route/tier: Bitdeer AI

Mistral Small 3

$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

DeepSeek V3 -> Mistral Small 3
  • Provider overlap exists on Together AI and Vercel AI Gateway; start route-level A/B tests there.
  • Cheapest tracked output pricing is tied, so migration risk shifts to quality, latency, and provider packaging.
Mistral Small 3 -> DeepSeek V3
  • Provider overlap exists on Together AI and Vercel AI Gateway; start route-level A/B tests there.
  • Cheapest tracked output pricing is tied, so migration risk shifts to quality, latency, and provider packaging.

Specs

Specification
Released2024-12-262025-01-01
Context window64k33k
Parameters671B24B
Architecturemixture of expertsdecoder only
LicenseOpen SourceProprietary
Knowledge cutoff2024-042023-10

Pricing and availability

Pricing attributeDeepSeek V3Mistral Small 3
Input price$0.10/1M tokens$0.10/1M tokens
Output price$0.30/1M tokens$0.30/1M tokens
Providers

Capabilities

CapabilityDeepSeek V3Mistral Small 3
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingYesYes
Tool useYesYes
Structured outputsYesYes
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint is close: both models cover function calling, tool use, and structured outputs. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.

For cost, DeepSeek V3 lists $0.10/1M input and $0.30/1M output tokens on the cheapest tracked provider, while Mistral Small 3 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 2, so concentration risk also matters.

Choose DeepSeek V3 when long-context analysis, larger context windows, and broader provider choice are central to the workload. Choose Mistral Small 3 when provider fit 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. It also helps separate model capability from provider packaging, which can change cost and latency.

FAQ

Which has a larger context window, DeepSeek V3 or Mistral Small 3?

DeepSeek V3 supports 64k tokens, while Mistral Small 3 supports 33k 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?

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 open source?

DeepSeek V3 is listed under Open Source. Mistral Small 3 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 function calling, DeepSeek V3 or Mistral Small 3?

Both DeepSeek V3 and Mistral Small 3 expose function calling. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Which is better for tool use, DeepSeek V3 or Mistral Small 3?

Both DeepSeek V3 and Mistral Small 3 expose tool use. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Where can I run DeepSeek V3 and Mistral Small 3?

DeepSeek V3 is available on DeepInfra, Fireworks AI, DeepSeek Platform, Microsoft Foundry, and OpenRouter. Mistral Small 3 is available on Together AI and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.