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GPT-5.4 Pro vs Mistral Large 2

GPT-5.4 Pro (2026) and Mistral Large 2 (2025) are frontier reasoning models from OpenAI and MistralAI. GPT-5.4 Pro ships a 1.1M-token context window, while Mistral Large 2 ships a 128K-token context window. On pricing, Mistral Large 2 costs $0.48/1M input tokens versus $30/1M 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 Large 2 is ~6150% cheaper at $0.48/1M; pay for GPT-5.4 Pro only for coding workflow support.

Specs

Specification
Released2026-03-012025-11-25
Context window1.1M128K
Parameters123B
Architecturedecoder onlydecoder only
LicenseProprietaryTrue
Knowledge cutoff2025-082025-07

Pricing and availability

Pricing attributeGPT-5.4 ProMistral Large 2
Input price$30/1M tokens$0.48/1M tokens
Output price$180/1M tokens$2.4/1M tokens
Providers

Capabilities

CapabilityGPT-5.4 ProMistral Large 2
VisionYesYes
MultimodalYesYes
ReasoningYesNo
Function callingYesYes
Tool useYesYes
Structured outputsYesYes
Code executionYesNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on reasoning mode: GPT-5.4 Pro and code execution: GPT-5.4 Pro. 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-5.4 Pro lists $30/1M input and $180/1M output tokens, while Mistral Large 2 lists $0.48/1M input and $2.4/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mistral Large 2 lower by about $73.94 per million blended tokens. Availability is 2 providers versus 4, so concentration risk also matters.

Choose GPT-5.4 Pro when coding workflow support and larger context windows are central to the workload. Choose Mistral Large 2 when vision-heavy evaluation, 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 has a larger context window, GPT-5.4 Pro or Mistral Large 2?

GPT-5.4 Pro supports 1.1M 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-5.4 Pro or Mistral Large 2?

Mistral Large 2 is cheaper on tracked token pricing. GPT-5.4 Pro costs $30/1M input and $180/1M output tokens. Mistral Large 2 costs $0.48/1M input and $2.4/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is GPT-5.4 Pro or Mistral Large 2 open source?

GPT-5.4 Pro is listed under Proprietary. Mistral Large 2 is listed under True. 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-5.4 Pro or Mistral Large 2?

Both GPT-5.4 Pro 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. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for multimodal input, GPT-5.4 Pro or Mistral Large 2?

Both GPT-5.4 Pro and Mistral Large 2 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-5.4 Pro and Mistral Large 2?

GPT-5.4 Pro is available on OpenRouter and OpenAI API. Mistral Large 2 is available on OpenRouter, IBM watsonx, AWS Bedrock, and Mistral AI Studio. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

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