Mistral Small 3 vs Hunyuan Turbo S

Mistral Small 3 (2025) and Hunyuan Turbo S (2026) are compact production models from MistralAI and Tencent AI Lab. Mistral Small 3 ships a 32K-token context window, while Hunyuan Turbo S ships a 200K-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.

Hunyuan Turbo S fits 6x more tokens; pick it for long-context work and Mistral Small 3 for tighter calls.

Decision scorecard

Local evidence first
SignalMistral Small 3Hunyuan Turbo S
Best fortool-calling agents and provider-routed productiongeneral production evaluation
Decision fitAgents, Classification, and JSON / Tool useLong context
Context window32K200K
Cheapest output$0.30/1M tokens-
Provider routes3 tracked0 tracked
Shared benchmarks0 shared0 shared

Decision tradeoffs

Choose Mistral Small 3 when...
  • Mistral Small 3 has broader tracked provider coverage for fallback and route flexibility.
  • Mistral Small 3 uniquely exposes JSON / Tool use and Structured outputs in local model data.
  • Local decision data tags Mistral Small 3 for Agents, Classification, and JSON / Tool use.
Choose Hunyuan Turbo S when...
  • Hunyuan Turbo S has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Local decision data tags Hunyuan Turbo S for Long context.

Monthly cost at traffic

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

Mistral Small 3

$155

Cheapest tracked route/tier: Together AI

Hunyuan Turbo S

Unavailable

No complete token price in local provider data

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Mistral Small 3 -> Hunyuan Turbo S
  • No overlapping tracked provider route is sourced for Mistral Small 3 and Hunyuan Turbo S; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for JSON / Tool use and Structured outputs before moving production traffic.
Hunyuan Turbo S -> Mistral Small 3
  • No overlapping tracked provider route is sourced for Hunyuan Turbo S and Mistral Small 3; plan for SDK, billing, or endpoint changes.
  • Mistral Small 3 adds JSON / Tool use and Structured outputs in local capability data.

Specs

Specification
Released2025-01-302026-01-10
Context window32K200K
Parameters24B—
ArchitectureDecoder Only-
LicenseApache 2.0OSI-approvedTencent Hunyuan Community License
OpennessOpen sourceOpen weights
WeightsUnknownUnknown
CodeUnknownUnknown
Commercial usePermittedRestricted
Knowledge cutoff2023-10-

Pricing and availability

Pricing attributeMistral Small 3Hunyuan Turbo S
Input price$0.10/1M tokens-
Output price$0.30/1M tokens-
Providers-

Capabilities

CapabilityMistral Small 3Hunyuan Turbo S
VisionNoNo
MultimodalNoNo
ReasoningNoNo
JSON / Tool useYesNo
Structured outputsYesNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark scores are currently available for this pair.

Deep dive

The capability footprint differs most on JSON / Tool use: Mistral Small 3, JSON / Tool use: Mistral Small 3, and structured outputs: Mistral Small 3. Both models share the core language-model surface, 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.

Pricing coverage is uneven: Mistral Small 3 has $0.10/1M input tokens and Hunyuan Turbo S has no token price sourced yet. Provider availability is 3 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Mistral Small 3 when provider fit and broader provider choice are central to the workload. Choose Hunyuan Turbo S 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. It also helps separate model capability from provider packaging, which can change cost and latency.

FAQ

Which has a larger context window, Mistral Small 3 or Hunyuan Turbo S?

Hunyuan Turbo S supports 200K tokens, while Mistral Small 3 supports 32K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Mistral Small 3 or Hunyuan Turbo S open source?

Mistral Small 3 is listed under Apache 2.0. Hunyuan Turbo S is listed under Tencent Hunyuan Community License. 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 JSON / Tool use, Mistral Small 3 or Hunyuan Turbo S?

Mistral Small 3 has the clearer documented JSON / Tool use signal in this comparison. If JSON / Tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for JSON / Tool use, Mistral Small 3 or Hunyuan Turbo S?

Mistral Small 3 has the clearer documented JSON / Tool use signal in this comparison. If JSON / Tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for structured outputs, Mistral Small 3 or Hunyuan Turbo S?

Mistral Small 3 has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Mistral Small 3 and Hunyuan Turbo S?

Mistral Small 3 is available on Together AI, OpenRouter, and Vercel AI Gateway. Hunyuan Turbo S is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-10-20. Data sourced from public model cards and provider documentation.