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 Google-Proof Q&A, Gemma 7B Instruct leads by 6.9 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Gemma 7B Instruct is ~900% cheaper at $0.05/1M; pay for Mistral Large 3 675B Instruct only for long-context analysis.
Decision scorecard
Local evidence first| Signal | Gemma 7B Instruct | Mistral Large 3 675B Instruct |
|---|---|---|
| Best for | provider-routed production | multimodal apps and provider-routed production |
| Decision fit | Coding, Classification, and JSON / Tool use | Coding, RAG, and Agents |
| Context window | 8k | 128k |
| Cheapest output | $0.25/1M tokens | $1.50/1M tokens |
| Provider routes | 8 tracked | 6 tracked |
| Shared benchmarks | Google-Proof Q&A leader | 2 shared |
Decision tradeoffs
- Gemma 7B Instruct holds a shared-benchmark lead on Google-Proof Q&A, ahead by 6.9 points.
- Gemma 7B Instruct has the lower cheapest tracked output price at $0.25/1M tokens.
- Gemma 7B Instruct has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags Gemma 7B Instruct for Coding, Classification, and JSON / Tool use.
- Mistral Large 3 675B Instruct holds a shared-benchmark lead on HumanEval, ahead by 21.9 points.
- Mistral Large 3 675B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- 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.
Gemma 7B Instruct
$103
Cheapest tracked route/tier: Replicate API
Mistral Large 3 675B Instruct
$775
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $673. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- Mistral Large 3 675B Instruct is $1.25/1M 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.
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- Gemma 7B Instruct is $1.25/1M 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 | ||
|---|---|---|
| Released | 2024-02-21 | 2025-12-01 |
| Context window | 8k | 128k |
| Parameters | 7B | 675B |
| Architecture | Decoder Only | Decoder Only |
| License | Gemma | Apache 2.0OSI-approved |
| Openness | Open weights | Open source |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2023-04 | 2024-11 |
Pricing and availability
| Pricing attribute | Gemma 7B Instruct | Mistral Large 3 675B Instruct |
|---|---|---|
| Input price | $0.05/1M tokens | $0.50/1M tokens |
| Output price | $0.25/1M tokens | $1.50/1M tokens |
| Providers |
Capabilities
| Capability | Gemma 7B Instruct | Mistral Large 3 675B Instruct |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| JSON / Tool use | No | No |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Gemma 7B Instruct | Mistral Large 3 675B Instruct |
|---|---|---|
| Google-Proof Q&A | 50.8 | 43.9 |
| HumanEval | 70.1 | 92.0 |
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Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.