Gemma 7B Instruct vs Mistral Large 3 675B Instruct
Gemma 7B Instruct (2024) and Mistral Large 3 675B Instruct (2025) are compact production models from Google DeepMind and MistralAI. Gemma 7B Instruct ships a 8K-token context window, while Mistral Large 3 675B Instruct ships a 128K-token context window. On pricing, Gemma 7B Instruct costs $0.05/1M input tokens versus $0.5/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Gemma 7B Instruct is ~900% cheaper at $0.05/1M; pay for Mistral Large 3 675B Instruct only for long-context analysis.
Specs
| Released | 2024-02-21 | 2025-12-01 |
| Context window | 8K | 128K |
| Parameters | 7B | 675B |
| Architecture | decoder only | decoder only |
| License | Open Source | 1 |
| Knowledge cutoff | 2023-04 | - |
Pricing and availability
| Gemma 7B Instruct | Mistral Large 3 675B Instruct | |
|---|---|---|
| Input price | $0.05/1M tokens | $0.5/1M tokens |
| Output price | $0.25/1M tokens | $1.5/1M tokens |
| Providers |
Capabilities
| Gemma 7B Instruct | Mistral Large 3 675B Instruct | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint is close: both models cover structured outputs. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
For cost, Gemma 7B Instruct lists $0.05/1M input and $0.25/1M output tokens, while Mistral Large 3 675B Instruct lists $0.5/1M input and $1.5/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemma 7B Instruct lower by about $0.69 per million blended tokens. Availability is 8 providers versus 3, so concentration risk also matters.
Choose Gemma 7B Instruct when provider fit, lower input-token cost, and broader provider choice are central to the workload. Choose Mistral Large 3 675B Instruct when long-context analysis and larger context windows 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, Gemma 7B Instruct or Mistral Large 3 675B Instruct?
Mistral Large 3 675B Instruct supports 128K tokens, while Gemma 7B Instruct 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, Gemma 7B Instruct or Mistral Large 3 675B Instruct?
Gemma 7B Instruct is cheaper on tracked token pricing. Gemma 7B Instruct costs $0.05/1M input and $0.25/1M output tokens. Mistral Large 3 675B Instruct costs $0.5/1M input and $1.5/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemma 7B Instruct or Mistral Large 3 675B Instruct open source?
Gemma 7B Instruct is listed under Open Source. Mistral Large 3 675B Instruct is listed under 1. 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 structured outputs, Gemma 7B Instruct or Mistral Large 3 675B Instruct?
Both Gemma 7B Instruct 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 7B Instruct and Mistral Large 3 675B Instruct?
Gemma 7B Instruct is available on NVIDIA NIM, Fireworks AI, Together AI, GCP Vertex AI, and Cloudflare Workers AI. Mistral Large 3 675B Instruct is available on AWS Bedrock, NVIDIA NIM, and Mistral AI Studio. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Gemma 7B Instruct over Mistral Large 3 675B Instruct?
Gemma 7B Instruct is ~900% cheaper at $0.05/1M; pay for Mistral Large 3 675B Instruct only for long-context analysis. If your workload also depends on provider fit, start with Gemma 7B Instruct; if it depends on long-context analysis, run the same evaluation with Mistral Large 3 675B Instruct.
Continue comparing
Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.