LLM Reference

Gemma 3 vs Mistral Large 3 675B Instruct

Gemma 3 (2025) and Mistral Large 3 675B Instruct (2025) are compact production models from Google DeepMind and MistralAI. Gemma 3 ships a not-yet-sourced context window, while Mistral Large 3 675B Instruct ships a 128k-token context window. On pricing, Gemma 3 costs $0.04/1M input tokens versus $0.50/1M 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.

Gemma 3 is ~1150% cheaper at $0.04/1M; pay for Mistral Large 3 675B Instruct only for vision-heavy evaluation.

Decision scorecard

Local evidence first
SignalGemma 3Mistral Large 3 675B Instruct
Best forprovider-routed productionmultimodal apps and provider-routed production
Decision fitClassification and JSON / Tool useCoding, RAG, and Agents
Context window128k
Cheapest output$0.08/1M tokens$1.50/1M tokens
Provider routes3 tracked5 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Gemma 3 when...
  • Gemma 3 has the lower cheapest tracked output price at $0.08/1M tokens.
  • Local decision data tags Gemma 3 for Classification and JSON / Tool use.
Choose Mistral Large 3 675B Instruct when...
  • Mistral Large 3 675B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Mistral Large 3 675B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
  • Mistral Large 3 675B Instruct uniquely exposes Vision and Multimodal in local model data.
  • Local decision data tags Mistral Large 3 675B Instruct 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 Gemma 3

Gemma 3

$52.00

Cheapest tracked route/tier: OpenRouter

Mistral Large 3 675B Instruct

$775

Cheapest tracked route/tier: AWS Bedrock

Estimated monthly gap: $723. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Gemma 3 -> Mistral Large 3 675B Instruct
  • No overlapping tracked provider route is sourced for Gemma 3 and Mistral Large 3 675B Instruct; plan for SDK, billing, or endpoint changes.
  • Mistral Large 3 675B Instruct is $1.42/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Mistral Large 3 675B Instruct adds Vision and Multimodal in local capability data.
Mistral Large 3 675B Instruct -> Gemma 3
  • No overlapping tracked provider route is sourced for Mistral Large 3 675B Instruct and Gemma 3; plan for SDK, billing, or endpoint changes.
  • Gemma 3 is $1.42/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Vision and Multimodal before moving production traffic.

Specs

Specification
Released2025-03-122025-12-01
Context window128k
Parameters675B
Architecturedecoder onlydecoder only
LicenseGemmaMistral License
OpennessOpen weightsOpen weights
Commercial useCommercial use with conditionsNon-commercial only
Knowledge cutoff2025-012024-11

Pricing and availability

Pricing attributeGemma 3Mistral Large 3 675B Instruct
Input price$0.04/1M tokens$0.50/1M tokens
Output price$0.08/1M tokens$1.50/1M tokens
Providers

Capabilities

CapabilityGemma 3Mistral Large 3 675B Instruct
VisionNoYes
MultimodalNoYes
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsYesYes
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: Mistral Large 3 675B Instruct and multimodal input: Mistral Large 3 675B Instruct. Both models share 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, Gemma 3 lists $0.04/1M input and $0.08/1M output tokens on the cheapest tracked provider, while Mistral Large 3 675B Instruct lists $0.50/1M input and $1.50/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemma 3 lower by about $0.75 per million blended tokens. Availability is 3 providers versus 5, so concentration risk also matters.

Choose Gemma 3 when provider fit and lower input-token cost are central to the workload. Choose Mistral Large 3 675B Instruct when vision-heavy evaluation 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 is cheaper, Gemma 3 or Mistral Large 3 675B Instruct?

Gemma 3 is cheaper on tracked token pricing. Gemma 3 costs $0.04/1M input and $0.08/1M output tokens. Mistral Large 3 675B Instruct costs $0.50/1M input and $1.50/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Gemma 3 or Mistral Large 3 675B Instruct open source?

Gemma 3 is listed under Gemma. Mistral Large 3 675B Instruct 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, Gemma 3 or Mistral Large 3 675B Instruct?

Mistral Large 3 675B Instruct has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for multimodal input, Gemma 3 or Mistral Large 3 675B Instruct?

Mistral Large 3 675B Instruct 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.

Which is better for structured outputs, Gemma 3 or Mistral Large 3 675B Instruct?

Both Gemma 3 and Mistral Large 3 675B Instruct expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Where can I run Gemma 3 and Mistral Large 3 675B Instruct?

Gemma 3 is available on OpenRouter, Google AI Studio, and GCP Vertex AI. Mistral Large 3 675B Instruct is available on AWS Bedrock, NVIDIA NIM, Mistral AI Studio, Microsoft Foundry, and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

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Last reviewed: 2026-06-04. Data sourced from public model cards and provider documentation.