GPT-4 Turbo vs Mistral Small 4
GPT-4 Turbo (2024) and Mistral Small 4 (2026) are compact production models from OpenAI and MistralAI. GPT-4 Turbo ships a 128k-token context window, while Mistral Small 4 ships a 256k-token context window. On MMLU PRO, Mistral Small 4 leads by 8.6 pts. On pricing, Mistral Small 4 costs $0.15/1M 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 4 is ~3233% cheaper at $0.15/1M; pay for GPT-4 Turbo only for coding workflow support.
Decision scorecard
Local evidence first| Signal | GPT-4 Turbo | Mistral Small 4 |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and provider-routed production | multimodal apps, tool-calling agents, and provider-routed production |
| Decision fit | Coding, RAG, and Agents | RAG, Agents, and Long context |
| Context window | 128k | 256k |
| Cheapest output | $15/1M tokens | $0.60/1M tokens |
| Provider routes | 6 tracked | 3 tracked |
| Shared benchmarks | 1 rows | MMLU PRO leader |
Decision tradeoffs
- GPT-4 Turbo has broader tracked provider coverage for fallback and procurement flexibility.
- GPT-4 Turbo uniquely exposes Structured outputs and Code execution in local model data.
- Local decision data tags GPT-4 Turbo for Coding, RAG, and Agents.
- Mistral Small 4 holds a shared-benchmark lead on MMLU PRO, ahead by 8.6 points.
- Mistral Small 4 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Small 4 has the lower cheapest tracked output price at $0.60/1M tokens.
- Local decision data tags Mistral Small 4 for RAG, Agents, and Long context.
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 4
$270
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $7,480. 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 4 is $14.40/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Structured outputs and Code execution before moving production traffic.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- GPT-4 Turbo is $14.40/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GPT-4 Turbo adds Structured outputs and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-04-09 | 2026-03-16 |
| Context window | 128k | 256k |
| Parameters | 1.76T (8x222B MoE)* | 119B (6.5B active) |
| Architecture | mixture of experts | moe |
| License | Proprietary | Apache 2.0(OSI) |
| Openness | Proprietary | Open source |
| Commercial use | Commercial use with conditions | Commercial use allowed |
| Knowledge cutoff | 2023-12 | 2025-06 |
Pricing and availability
| Pricing attribute | GPT-4 Turbo | Mistral Small 4 |
|---|---|---|
| Input price | $5/1M tokens | $0.15/1M tokens |
| Output price | $15/1M tokens | $0.60/1M tokens |
| Providers |
Capabilities
| Capability | GPT-4 Turbo | Mistral Small 4 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | No |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | GPT-4 Turbo | Mistral Small 4 |
|---|---|---|
| MMLU PRO | 69.4 | 78.0 |
Deep dive
On shared benchmark coverage, MMLU PRO has GPT-4 Turbo at 69.4 and Mistral Small 4 at 78, with Mistral Small 4 ahead by 8.6 points. The largest visible gap is 8.6 points on MMLU PRO, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on structured outputs: GPT-4 Turbo and code execution: GPT-4 Turbo. Both models share vision, multimodal input, function calling, and tool use, 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 4 lists $0.15/1M input and $0.60/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mistral Small 4 lower by about $7.71 per million blended tokens. Availability is 6 providers versus 3, so concentration risk also matters.
Choose GPT-4 Turbo when coding workflow support and broader provider choice 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.
FAQ
Which has a larger context window, GPT-4 Turbo or Mistral Small 4?
Mistral Small 4 supports 256k tokens, while GPT-4 Turbo 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 4?
Mistral Small 4 is cheaper on tracked token pricing. GPT-4 Turbo costs $5/1M input and $15/1M output tokens. Mistral Small 4 costs $0.15/1M input and $0.60/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is GPT-4 Turbo or Mistral Small 4 open source?
GPT-4 Turbo is listed under Proprietary. 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-4 Turbo or Mistral Small 4?
Both GPT-4 Turbo and Mistral Small 4 expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, GPT-4 Turbo or Mistral Small 4?
Both GPT-4 Turbo and Mistral Small 4 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 4?
GPT-4 Turbo is available on OpenAI API, Azure OpenAI, Salesforce Einstein Generative AI, OpenRouter, and Replicate API. Mistral Small 4 is available on OpenRouter, NVIDIA NIM, and Mistral AI Studio. 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.