GPT-4 Turbo vs Mistral Small 3.1 24B Instruct
GPT-4 Turbo (2024) and Mistral Small 3.1 24B Instruct (2025) are compact production models from OpenAI and MistralAI. GPT-4 Turbo ships a 128k-token context window, while Mistral Small 3.1 24B Instruct ships a 128k-token context window. On pricing, Mistral Small 3.1 24B Instruct costs $0.10/1M input tokens versus $5/1M 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 Small 3.1 24B Instruct is ~4900% cheaper at $0.10/1M; pay for GPT-4 Turbo only for coding workflow support.
Decision scorecard
Local evidence first| Signal | GPT-4 Turbo | Mistral Small 3.1 24B Instruct |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and provider-routed production | multimodal apps and provider-routed production |
| Decision fit | Coding, RAG, and Agents | RAG, Long context, and Vision |
| Context window | 128k | 128k |
| Cheapest output | $15/1M tokens | $0.30/1M tokens |
| Provider routes | 6 tracked | 6 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- GPT-4 Turbo uniquely exposes Function calling, Tool use, and Code execution in local model data.
- Local decision data tags GPT-4 Turbo for Coding, RAG, and Agents.
- Mistral Small 3.1 24B Instruct has the lower cheapest tracked output price at $0.30/1M tokens.
- Local decision data tags Mistral Small 3.1 24B Instruct for RAG, Long context, and Vision.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
GPT-4 Turbo
$7,750
Cheapest tracked route/tier: Replicate API
Mistral Small 3.1 24B Instruct
$155
Cheapest tracked route/tier: Together AI
Estimated monthly gap: $7,595. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Mistral Small 3.1 24B Instruct is $14.70/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Function calling, Tool use, and Code execution before moving production traffic.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- GPT-4 Turbo is $14.70/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GPT-4 Turbo adds Function calling, Tool use, and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-04-09 | 2025-12-15 |
| Context window | 128k | 128k |
| Parameters | 1.76T (8x222B MoE)* | 24B |
| Architecture | mixture of experts | dense |
| License | Proprietary | Apache 2.0(OSI) |
| Openness | Proprietary | Open source |
| Commercial use | Commercial use with conditions | Commercial use allowed |
| Knowledge cutoff | 2023-12 | 2023-10 |
Pricing and availability
| Pricing attribute | GPT-4 Turbo | Mistral Small 3.1 24B Instruct |
|---|---|---|
| Input price | $5/1M tokens | $0.10/1M tokens |
| Output price | $15/1M tokens | $0.30/1M tokens |
| Providers |
Capabilities
| Capability | GPT-4 Turbo | Mistral Small 3.1 24B Instruct |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on function calling: GPT-4 Turbo, tool use: GPT-4 Turbo, and code execution: GPT-4 Turbo. Both models share vision, multimodal input, and structured outputs, 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-4 Turbo lists $5/1M input and $15/1M output tokens on the cheapest tracked provider, while Mistral Small 3.1 24B Instruct lists $0.10/1M input and $0.30/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mistral Small 3.1 24B Instruct lower by about $7.84 per million blended tokens. Availability is 6 providers versus 6, so concentration risk also matters.
Choose GPT-4 Turbo when coding workflow support are central to the workload. Choose Mistral Small 3.1 24B Instruct when vision-heavy evaluation 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.
FAQ
Which has a larger context window, GPT-4 Turbo or Mistral Small 3.1 24B Instruct?
GPT-4 Turbo supports 128k tokens, while Mistral Small 3.1 24B Instruct 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-4 Turbo or Mistral Small 3.1 24B Instruct?
Mistral Small 3.1 24B Instruct is cheaper on tracked token pricing. GPT-4 Turbo costs $5/1M input and $15/1M output tokens. Mistral Small 3.1 24B Instruct costs $0.10/1M input and $0.30/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is GPT-4 Turbo or Mistral Small 3.1 24B Instruct open source?
GPT-4 Turbo is listed under Proprietary. Mistral Small 3.1 24B Instruct 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-4 Turbo or Mistral Small 3.1 24B Instruct?
Both GPT-4 Turbo and Mistral Small 3.1 24B Instruct expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for multimodal input, GPT-4 Turbo or Mistral Small 3.1 24B Instruct?
Both GPT-4 Turbo and Mistral Small 3.1 24B Instruct expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run GPT-4 Turbo and Mistral Small 3.1 24B Instruct?
GPT-4 Turbo is available on OpenAI API, Azure OpenAI, Salesforce Einstein Generative AI, OpenRouter, and Replicate API. Mistral Small 3.1 24B Instruct is available on Cloudflare Workers AI, OpenRouter, Fireworks AI, NVIDIA NIM, and Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.