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Mistral Magistral Small 2509 vs OpenChat 3.6 8B

Mistral Magistral Small 2509 (2025) and OpenChat 3.6 8B (2024) are compact production models from MistralAI and Alignment Lab AI. Mistral Magistral Small 2509 ships a not-yet-sourced context window, while OpenChat 3.6 8B ships a 8K-token context window. On pricing, OpenChat 3.6 8B costs $0.05/1M input tokens versus $0.5/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

OpenChat 3.6 8B is ~900% cheaper at $0.05/1M; pay for Mistral Magistral Small 2509 only for provider fit.

Decision scorecard

Local evidence first
SignalMistral Magistral Small 2509OpenChat 3.6 8B
Decision fitGeneralClassification and JSON / Tool use
Context window8K
Cheapest output$1.5/1M tokens$0.15/1M tokens
Provider routes1 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Mistral Magistral Small 2509 when...
  • Use Mistral Magistral Small 2509 when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
Choose OpenChat 3.6 8B when...
  • OpenChat 3.6 8B has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • OpenChat 3.6 8B has the lower cheapest tracked output price at $0.15/1M tokens.
  • OpenChat 3.6 8B uniquely exposes Structured outputs in local model data.
  • Local decision data tags OpenChat 3.6 8B for Classification and JSON / Tool use.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output prices on this page.

Lower estimate OpenChat 3.6 8B

Mistral Magistral Small 2509

$775

Cheapest tracked route: AWS Bedrock

OpenChat 3.6 8B

$77.50

Cheapest tracked route: DeepInfra

Estimated monthly gap: $698. Batch, cache, and negotiated pricing are excluded from this local estimate.

Switch friction

Mistral Magistral Small 2509 -> OpenChat 3.6 8B
  • No overlapping tracked provider route is sourced for Mistral Magistral Small 2509 and OpenChat 3.6 8B; plan for SDK, billing, or endpoint changes.
  • OpenChat 3.6 8B is $1.35/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • OpenChat 3.6 8B adds Structured outputs in local capability data.
OpenChat 3.6 8B -> Mistral Magistral Small 2509
  • No overlapping tracked provider route is sourced for OpenChat 3.6 8B and Mistral Magistral Small 2509; plan for SDK, billing, or endpoint changes.
  • Mistral Magistral Small 2509 is $1.35/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Check replacement coverage for Structured outputs before moving production traffic.

Specs

Specification
Released2025-09-012024-05-22
Context window8K
Parameters8B
Architecture-decoder only
LicenseProprietaryUnknown
Knowledge cutoff--

Pricing and availability

Pricing attributeMistral Magistral Small 2509OpenChat 3.6 8B
Input price$0.5/1M tokens$0.05/1M tokens
Output price$1.5/1M tokens$0.15/1M tokens
Providers

Capabilities

CapabilityMistral Magistral Small 2509OpenChat 3.6 8B
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsNoYes
Code executionNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on structured outputs: OpenChat 3.6 8B. 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.

For cost, Mistral Magistral Small 2509 lists $0.5/1M input and $1.5/1M output tokens, while OpenChat 3.6 8B lists $0.05/1M input and $0.15/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts OpenChat 3.6 8B lower by about $0.72 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.

Choose Mistral Magistral Small 2509 when provider fit are central to the workload. Choose OpenChat 3.6 8B when provider fit and lower input-token cost 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.

FAQ

Which is cheaper, Mistral Magistral Small 2509 or OpenChat 3.6 8B?

OpenChat 3.6 8B is cheaper on tracked token pricing. Mistral Magistral Small 2509 costs $0.5/1M input and $1.5/1M output tokens. OpenChat 3.6 8B costs $0.05/1M input and $0.15/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Mistral Magistral Small 2509 or OpenChat 3.6 8B open source?

Mistral Magistral Small 2509 is listed under Proprietary. OpenChat 3.6 8B is listed under Unknown. 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 structured outputs, Mistral Magistral Small 2509 or OpenChat 3.6 8B?

OpenChat 3.6 8B 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 Magistral Small 2509 and OpenChat 3.6 8B?

Mistral Magistral Small 2509 is available on AWS Bedrock. OpenChat 3.6 8B is available on DeepInfra. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

When should I pick Mistral Magistral Small 2509 over OpenChat 3.6 8B?

OpenChat 3.6 8B is ~900% cheaper at $0.05/1M; pay for Mistral Magistral Small 2509 only for provider fit. If your workload also depends on provider fit, start with Mistral Magistral Small 2509; if it depends on provider fit, run the same evaluation with OpenChat 3.6 8B.

Continue comparing

Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.