LLM Reference

GPT-4o Audio vs Mistral Magistral Small 2509

GPT-4o Audio (2024) and Mistral Magistral Small 2509 (2025) are compact production models from OpenAI and MistralAI. GPT-4o Audio ships a 128k-token context window, while Mistral Magistral Small 2509 ships a not-yet-sourced context window. On pricing, Mistral Magistral Small 2509 costs $0.50/1M input tokens versus $2.50/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

Mistral Magistral Small 2509 is ~400% cheaper at $0.50/1M; pay for GPT-4o Audio only for provider fit.

Decision scorecard

Local evidence first
SignalGPT-4o AudioMistral Magistral Small 2509
Best forgeneral production evaluationprovider-routed production
Decision fitLong contextGeneral
Context window128k
Cheapest output$10/1M tokens$1.50/1M tokens
Provider routes1 tracked2 tracked
Shared benchmarks0 shared0 shared

Decision tradeoffs

Choose GPT-4o Audio when...
  • GPT-4o Audio has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Local decision data tags GPT-4o Audio for Long context.
Choose Mistral Magistral Small 2509 when...
  • Mistral Magistral Small 2509 has the lower cheapest tracked output price at $1.50/1M tokens.
  • 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 Mistral Magistral Small 2509

GPT-4o Audio

$4,500

Cheapest tracked route/tier: OpenRouter

Mistral Magistral Small 2509

$775

Cheapest tracked route/tier: AWS Bedrock

Estimated monthly gap: $3,725. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

GPT-4o Audio -> Mistral Magistral Small 2509
  • No overlapping tracked provider route is sourced for GPT-4o Audio and Mistral Magistral Small 2509; plan for SDK, billing, or endpoint changes.
  • Mistral Magistral Small 2509 is $8.50/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
Mistral Magistral Small 2509 -> GPT-4o Audio
  • No overlapping tracked provider route is sourced for Mistral Magistral Small 2509 and GPT-4o Audio; plan for SDK, billing, or endpoint changes.
  • GPT-4o Audio is $8.50/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.

Specs

Specification
Released2024-10-012025-09-01
Context window128k
Parameters24B
ArchitectureDecoder Only-
LicenseProprietaryApache 2.0OSI-approved
OpennessProprietaryOpen source
Commercial useCommercial use: conditionalCommercial use: permitted
Knowledge cutoff2023-10-

Pricing and availability

Pricing attributeGPT-4o AudioMistral Magistral Small 2509
Input price$2.50/1M tokens$0.50/1M tokens
Output price$10/1M tokens$1.50/1M tokens
Providers

Capabilities

CapabilityGPT-4o AudioMistral Magistral Small 2509
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsNoNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark scores are currently available 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, GPT-4o Audio lists $2.50/1M input and $10/1M 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 Mistral Magistral Small 2509 lower by about $3.95 per million blended tokens. Availability is 1 providers versus 2, so concentration risk also matters.

Choose GPT-4o Audio when provider fit are central to the workload. Choose Mistral Magistral Small 2509 when provider fit, lower input-token cost, 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, GPT-4o Audio or Mistral Magistral Small 2509?

Mistral Magistral Small 2509 is cheaper on tracked token pricing. GPT-4o Audio costs $2.50/1M input and $10/1M 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 GPT-4o Audio or Mistral Magistral Small 2509 open source?

GPT-4o Audio is listed under Proprietary. Mistral Magistral Small 2509 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.

Where can I run GPT-4o Audio and Mistral Magistral Small 2509?

GPT-4o Audio is available on OpenRouter. 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 GPT-4o Audio over Mistral Magistral Small 2509?

Mistral Magistral Small 2509 is ~400% cheaper at $0.50/1M; pay for GPT-4o Audio only for provider fit. If your workload also depends on provider fit, start with GPT-4o Audio; if it depends on provider fit, run the same evaluation with Mistral Magistral Small 2509.

Continue comparing

Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.