GPT-4o Mini (07-18) vs Mistral Large 2
GPT-4o Mini (07-18) (2024) and Mistral Large 2 (2025) are compact production models from OpenAI and MistralAI. GPT-4o Mini (07-18) ships a 128k-token context window, while Mistral Large 2 ships a 128k-token context window. On pricing, GPT-4o Mini (07-18) costs $0.15/1M input tokens versus $0.48/1M 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.
GPT-4o Mini (07-18) is ~220% cheaper at $0.15/1M; pay for Mistral Large 2 only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | GPT-4o Mini (07-18) | Mistral Large 2 |
|---|---|---|
| Best for | multimodal apps and provider-routed production | multimodal apps, tool-calling agents, and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 128k | 128k |
| Cheapest output | $0.60/1M tokens | $2.40/1M tokens |
| Provider routes | 3 tracked | 3 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- GPT-4o Mini (07-18) has the lower cheapest tracked output price at $0.60/1M tokens.
- GPT-4o Mini (07-18) uniquely exposes Code execution in local model data.
- Local decision data tags GPT-4o Mini (07-18) for Coding, RAG, and Agents.
- Mistral Large 2 uniquely exposes Multimodal, Function calling, and Tool use in local model data.
- Local decision data tags Mistral Large 2 for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
GPT-4o Mini (07-18)
$270
Cheapest tracked route/tier: OpenAI API
Mistral Large 2
$984
Cheapest tracked route/tier: AWS Bedrock
Estimated monthly gap: $714. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for GPT-4o Mini (07-18) and Mistral Large 2; plan for SDK, billing, or endpoint changes.
- Mistral Large 2 is $1.80/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Code execution before moving production traffic.
- Mistral Large 2 adds Multimodal, Function calling, and Tool use in local capability data.
- No overlapping tracked provider route is sourced for Mistral Large 2 and GPT-4o Mini (07-18); plan for SDK, billing, or endpoint changes.
- GPT-4o Mini (07-18) is $1.80/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Multimodal, Function calling, and Tool use before moving production traffic.
- GPT-4o Mini (07-18) adds Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-07-18 | 2025-11-25 |
| Context window | 128k | 128k |
| Parameters | — | 123B |
| Architecture | Decoder Only | Decoder Only |
| License | Proprietary | Mistral License |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use: conditional | Commercial use: non-commercial |
| Knowledge cutoff | 2023-10 | 2025-07 |
Pricing and availability
| Pricing attribute | GPT-4o Mini (07-18) | Mistral Large 2 |
|---|---|---|
| Input price | $0.15/1M tokens | $0.48/1M tokens |
| Output price | $0.60/1M tokens | $2.40/1M tokens |
| Providers |
Capabilities
| Capability | GPT-4o Mini (07-18) | Mistral Large 2 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint differs most on multimodal input: Mistral Large 2, function calling: Mistral Large 2, tool use: Mistral Large 2, and code execution: GPT-4o Mini (07-18). Both models share vision 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-4o Mini (07-18) lists $0.15/1M input and $0.60/1M output tokens on the cheapest tracked provider, while Mistral Large 2 lists $0.48/1M input and $2.40/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts GPT-4o Mini (07-18) lower by about $0.77 per million blended tokens. Availability is 3 providers versus 3, so concentration risk also matters.
Choose GPT-4o Mini (07-18) when coding workflow support and lower input-token cost are central to the workload. Choose Mistral Large 2 when vision-heavy evaluation 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-4o Mini (07-18) or Mistral Large 2?
GPT-4o Mini (07-18) supports 128k tokens, while Mistral Large 2 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 Mini (07-18) or Mistral Large 2?
GPT-4o Mini (07-18) is cheaper on tracked token pricing. GPT-4o Mini (07-18) costs $0.15/1M input and $0.60/1M output tokens. Mistral Large 2 costs $0.48/1M input and $2.40/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is GPT-4o Mini (07-18) or Mistral Large 2 open source?
GPT-4o Mini (07-18) is listed under Proprietary. Mistral Large 2 is listed under Mistral License. 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 Mini (07-18) or Mistral Large 2?
Both GPT-4o Mini (07-18) and Mistral Large 2 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-4o Mini (07-18) or Mistral Large 2?
Mistral Large 2 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 Mini (07-18) and Mistral Large 2?
GPT-4o Mini (07-18) is available on OpenAI API, OpenRouter, and Replicate API. Mistral Large 2 is available on IBM watsonx, AWS Bedrock, and Mistral AI Studio. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-16. Data sourced from public model cards and provider documentation.