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GPT-4o Audio vs Mistral Small 4

GPT-4o Audio (2024) and Mistral Small 4 (2026) are compact production models from OpenAI and MistralAI. GPT-4o Audio ships a 128K-token context window, while Mistral Small 4 ships a 256k-token context window. On pricing, Mistral Small 4 costs $0.15/1M input tokens versus $2.5/1M for the alternative. 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 Small 4 is ~1567% cheaper at $0.15/1M; pay for GPT-4o Audio only for provider fit.

Specs

Specification
Released2024-10-012026-03-16
Context window128K256k
Parameters119B (6.5B active)
Architecturedecoder onlymoe
LicenseUnknownApache 2.0
Knowledge cutoff--

Pricing and availability

Pricing attributeGPT-4o AudioMistral Small 4
Input price$2.5/1M tokens$0.15/1M tokens
Output price$10/1M tokens$0.6/1M tokens
Providers

Capabilities

CapabilityGPT-4o AudioMistral Small 4
VisionNoYes
MultimodalNoYes
ReasoningNoNo
Function callingNoYes
Tool useNoYes
Structured outputsNoNo
Code executionNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: Mistral Small 4, multimodal input: Mistral Small 4, function calling: Mistral Small 4, and tool use: Mistral Small 4. 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, GPT-4o Audio lists $2.5/1M input and $10/1M output tokens, while Mistral Small 4 lists $0.15/1M input and $0.6/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mistral Small 4 lower by about $4.46 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 Small 4 when long-context analysis, larger context windows, 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.

FAQ

Which has a larger context window, GPT-4o Audio or Mistral Small 4?

Mistral Small 4 supports 256k tokens, while GPT-4o Audio supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Which is cheaper, GPT-4o Audio or Mistral Small 4?

Mistral Small 4 is cheaper on tracked token pricing. GPT-4o Audio costs $2.5/1M input and $10/1M output tokens. Mistral Small 4 costs $0.15/1M input and $0.6/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is GPT-4o Audio or Mistral Small 4 open source?

GPT-4o Audio is listed under Unknown. Mistral Small 4 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.

Which is better for vision, GPT-4o Audio or Mistral Small 4?

Mistral Small 4 has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for multimodal input, GPT-4o Audio or Mistral Small 4?

Mistral Small 4 has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

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

GPT-4o Audio is available on OpenRouter. Mistral Small 4 is available on OpenRouter and NVIDIA NIM. 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.

Continue comparing

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