LLM Reference

Firefunction V1 vs Mistral Magistral Small 2509

Firefunction V1 (2024) and Mistral Magistral Small 2509 (2025) are compact production models from Fireworks AI and MistralAI. Firefunction V1 ships a 8k-token context window, while Mistral Magistral Small 2509 ships a not-yet-sourced context window. On pricing, both list $0.50/1M input tokens on the cheapest tracked route. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.

Mistral Magistral Small 2509 is safer overall; choose Firefunction V1 when provider fit matters.

Decision scorecard

Local evidence first
SignalFirefunction V1Mistral Magistral Small 2509
Best forgeneral production evaluationprovider-routed production
Decision fitGeneralGeneral
Context window8k
Cheapest output$0.50/1M tokens$1.50/1M tokens
Provider routes1 tracked2 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Firefunction V1 when...
  • Firefunction V1 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Firefunction V1 has the lower cheapest tracked output price at $0.50/1M tokens.
Choose Mistral Magistral Small 2509 when...
  • Mistral Magistral Small 2509 has broader tracked provider coverage for fallback and procurement flexibility.

Monthly cost at traffic

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

Lower estimate Firefunction V1

Firefunction V1

$525

Cheapest tracked route/tier: Fireworks AI

Mistral Magistral Small 2509

$775

Cheapest tracked route/tier: AWS Bedrock

Estimated monthly gap: $250. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Firefunction V1 -> Mistral Magistral Small 2509
  • No overlapping tracked provider route is sourced for Firefunction V1 and Mistral Magistral Small 2509; plan for SDK, billing, or endpoint changes.
  • Mistral Magistral Small 2509 is $1/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Mistral Magistral Small 2509 -> Firefunction V1
  • No overlapping tracked provider route is sourced for Mistral Magistral Small 2509 and Firefunction V1; plan for SDK, billing, or endpoint changes.
  • Firefunction V1 is $1/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.

Specs

Specification
Released2024-01-292025-09-01
Context window8k
Parameters46B24B
Architecturedecoder only-
LicenseUnknownProprietary
Knowledge cutoff--

Pricing and availability

Pricing attributeFirefunction V1Mistral Magistral Small 2509
Input price$0.50/1M tokens$0.50/1M tokens
Output price$0.50/1M tokens$1.50/1M tokens
Providers

Capabilities

CapabilityFirefunction V1Mistral Magistral Small 2509
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsNoNo
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 the core production surface. 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, Firefunction V1 lists $0.50/1M input and $0.50/1M output tokens on the cheapest tracked provider, while Mistral Magistral Small 2509 lists $0.50/1M input and $1.50/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Firefunction V1 lower by about $0.30 per million blended tokens. Availability is 1 providers versus 2, so concentration risk also matters.

Choose Firefunction V1 when provider fit are central to the workload. Choose Mistral Magistral Small 2509 when provider fit and broader provider choice 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 is cheaper, Firefunction V1 or Mistral Magistral Small 2509?

Firefunction V1 is cheaper on tracked token pricing. Firefunction V1 costs $0.50/1M input and $0.50/1M output tokens. Mistral Magistral Small 2509 costs $0.50/1M input and $1.50/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Firefunction V1 or Mistral Magistral Small 2509 open source?

Firefunction V1 is listed under Unknown. Mistral Magistral Small 2509 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.

Where can I run Firefunction V1 and Mistral Magistral Small 2509?

Firefunction V1 is available on Fireworks AI. Mistral Magistral Small 2509 is available on AWS Bedrock and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Firefunction V1 over Mistral Magistral Small 2509?

Mistral Magistral Small 2509 is safer overall; choose Firefunction V1 when provider fit matters. If your workload also depends on provider fit, start with Firefunction V1; if it depends on provider fit, run the same evaluation with Mistral Magistral Small 2509.

Continue comparing

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