LLM Reference

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 1.05m-token context window, while Mistral Large 2 ships a 128k-token context window. On pricing, GPT-5.4 Pro ranges from $30 to $60/1M input tokens by tier; Mistral Large 2 costs $0.48/1M input tokens. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

GPT-5.4 Pro fits 8x more tokens; pick it for long-context work and Mistral Large 2 for tighter calls.

Decision scorecard

Local evidence first
SignalGPT-5.4 ProMistral Large 2
Best forreasoning-heavy apps, multimodal apps, and tool-calling agentsmultimodal apps, tool-calling agents, and provider-routed production
Decision fitCoding, RAG, and AgentsCoding, RAG, and Agents
Context window1.05m128k
Cheapest output$180/1M tokens$2.40/1M tokens
Provider routes3 tracked3 tracked
Shared benchmarks0 shared0 shared

Decision tradeoffs

Choose GPT-5.4 Pro when...
  • GPT-5.4 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • GPT-5.4 Pro uniquely exposes Reasoning and Code execution in local model data.
  • Local decision data tags GPT-5.4 Pro for Coding, RAG, and Agents.
Choose Mistral Large 2 when...
  • Mistral Large 2 has the lower cheapest tracked output price at $2.40/1M tokens.
  • 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.

Lower estimate Mistral Large 2

GPT-5.4 Pro

$69,000

Cheapest tracked route/tier: OpenRouter

Mistral Large 2

$984

Cheapest tracked route/tier: AWS Bedrock

Estimated monthly gap: $68,016. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

GPT-5.4 Pro -> Mistral Large 2
  • No overlapping tracked provider route is sourced for GPT-5.4 Pro and Mistral Large 2; plan for SDK, billing, or endpoint changes.
  • Mistral Large 2 is $178/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Reasoning and Code execution before moving production traffic.
Mistral Large 2 -> GPT-5.4 Pro
  • No overlapping tracked provider route is sourced for Mistral Large 2 and GPT-5.4 Pro; plan for SDK, billing, or endpoint changes.
  • GPT-5.4 Pro is $178/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • GPT-5.4 Pro adds Reasoning and Code execution in local capability data.

Specs

Specification
Released2026-03-012025-11-25
Context window1.05m128k
Parameters123B
ArchitectureDecoder OnlyDecoder Only
LicenseProprietaryMistral License
OpennessProprietaryOpen weights
Commercial useCommercial use: conditionalCommercial use: non-commercial
Knowledge cutoff2025-082025-07

Pricing and availability

Pricing attributeGPT-5.4 ProMistral Large 2
Input price
0-272,000t
$30/1M tokens
272,000t+
$60/1M tokens
$0.48/1M tokens
Output price
0-272,000t
$180/1M tokens
272,000t+
$270/1M tokens
$2.40/1M tokens
Providers

Capabilities

CapabilityGPT-5.4 ProMistral Large 2
VisionYesYes
MultimodalYesYes
ReasoningYesNo
Function callingYesYes
Tool useYesYes
Structured outputsYesYes
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark scores are currently available 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 tiered pricing: 0-272,000t is $30/1M input and $180/1M output; 272,000t+ is $60/1M input and $270/1M output, 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 Mistral Large 2 lower by about $73.94 per million blended tokens. For tiered rows, this cheapest-track view can understate interactive or fast-lane spend, so compare the tier you will actually use. Availability is 3 providers versus 3, 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 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-5.4 Pro or Mistral Large 2?

GPT-5.4 Pro supports 1.05m 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?

GPT-5.4 Pro lists tiered pricing: 0-272,000t is $30/1M input and $180/1M output; 272,000t+ is $60/1M input and $270/1M output. Mistral Large 2 lists $0.48/1M input and $2.40/1M output tokens on the cheapest tracked provider. Compare the tier you will actually use; cheap async pricing can overstate savings for interactive workflows. 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 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-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, OpenAI API, and Vercel AI Gateway. 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.