GPT-4 vs Mistral Medium 3

GPT-4 (2023) and Mistral Medium 3 (2025) are compact production models from OpenAI and MistralAI. GPT-4 ships a 8K-token context window, while Mistral Medium 3 ships a 128K-token context window. On pricing, Mistral Medium 3 costs $0.40/1M input tokens versus $30/1M 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 Medium 3 is ~7400% cheaper at $0.40/1M; pay for GPT-4 only for coding workflow support.

Decision scorecard

Local evidence first
SignalGPT-4Mistral Medium 3
Best formultimodal apps, tool-calling agents, and provider-routed productionmultimodal apps, tool-calling agents, and provider-routed production
Decision fitCoding, Agents, and VisionCoding, RAG, and Agents
Context window8K128K
Cheapest output$60/1M tokens$2/1M tokens
Provider routes4 tracked5 tracked
Shared benchmarks0 shared0 shared

Decision tradeoffs

Choose GPT-4 when...
  • Local decision data tags GPT-4 for Coding, Agents, and Vision.
Choose Mistral Medium 3 when...
  • Mistral Medium 3 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Mistral Medium 3 has the lower cheapest tracked output price at $2/1M tokens.
  • Mistral Medium 3 has broader tracked provider coverage for fallback and route flexibility.
  • Local decision data tags Mistral Medium 3 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 Medium 3

GPT-4

$39,000

Cheapest tracked route/tier: OpenAI API

Mistral Medium 3

$820

Cheapest tracked route/tier: Mistral AI Studio

Estimated monthly gap: $38,180. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

GPT-4 -> Mistral Medium 3
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Mistral Medium 3 is $58/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
Mistral Medium 3 -> GPT-4
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • GPT-4 is $58/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.

Specs

Specification
Released2023-03-142025-05-01
Context window8K128K
Parameters1.76T (8x222B MoE)*—
ArchitectureMixture of ExpertsDecoder Only
LicenseProprietaryProprietary
OpennessProprietaryProprietary
WeightsNot releasedNot released
CodeUnknownUnknown
Commercial useRestrictedRestricted
Knowledge cutoff2021-092025-03

Pricing and availability

Pricing attributeGPT-4Mistral Medium 3
Input price$30/1M tokens$0.40/1M tokens
Output price$60/1M tokens$2/1M tokens
Providers

Capabilities

CapabilityGPT-4Mistral Medium 3
VisionYesYes
MultimodalYesYes
ReasoningNoNo
JSON / Tool useYesYes
Structured outputsYesYes
Code executionYesYes
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 JSON / Tool use: Mistral Medium 3. Both models share vision, multimodal input, JSON / Tool use, 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 lists $30/1M input and $60/1M output tokens on the cheapest tracked provider, while Mistral Medium 3 lists $0.40/1M input and $2/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mistral Medium 3 lower by about $38.12 per million blended tokens. Availability is 4 providers versus 5, so concentration risk also matters.

Choose GPT-4 when coding workflow support are central to the workload. Choose Mistral Medium 3 when coding workflow support, 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. 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-4 or Mistral Medium 3?

Mistral Medium 3 supports 128K tokens, while GPT-4 supports 8K 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 or Mistral Medium 3?

Mistral Medium 3 is cheaper on tracked token pricing. GPT-4 costs $30/1M input and $60/1M output tokens. Mistral Medium 3 costs $0.40/1M input and $2/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is GPT-4 or Mistral Medium 3 open source?

GPT-4 is listed under Proprietary. Mistral Medium 3 is listed under Proprietary. 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 or Mistral Medium 3?

Both GPT-4 and Mistral Medium 3 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 or Mistral Medium 3?

Both GPT-4 and Mistral Medium 3 expose multimodal input. 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.

Where can I run GPT-4 and Mistral Medium 3?

GPT-4 is available on OpenAI API, Azure OpenAI, Salesforce Models API, and OpenRouter. Mistral Medium 3 is available on NVIDIA NIM, Mistral AI Studio, Microsoft Foundry, OpenRouter, and GCP Vertex AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-10-18. Data sourced from public model cards and provider documentation.