Gemma 7B Instruct vs Mixtral 8x22B Instruct v0.3
Gemma 7B Instruct (2024) and Mixtral 8x22B Instruct v0.3 (2024) are compact production models from Google DeepMind and MistralAI. Gemma 7B Instruct ships a 8K-token context window, while Mixtral 8x22B Instruct v0.3 ships a 64K-token context window. On pricing, Gemma 7B Instruct costs $0.05/1M input tokens versus $2/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Gemma 7B Instruct is ~3900% cheaper at $0.05/1M; pay for Mixtral 8x22B Instruct v0.3 only for long-context analysis.
Specs
| Released | 2024-02-21 | 2024-07-01 |
| Context window | 8K | 64K |
| Parameters | 7B | 8x22B |
| Architecture | decoder only | mixture of experts |
| License | Open Source | Apache 2.0 |
| Knowledge cutoff | 2023-04 | - |
Pricing and availability
| Gemma 7B Instruct | Mixtral 8x22B Instruct v0.3 | |
|---|---|---|
| Input price | $0.05/1M tokens | $2/1M tokens |
| Output price | $0.25/1M tokens | $2/1M tokens |
| Providers |
Capabilities
| Gemma 7B Instruct | Mixtral 8x22B Instruct v0.3 | |
|---|---|---|
| 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 differs most on function calling: Mixtral 8x22B Instruct v0.3 and structured outputs: Gemma 7B Instruct. Both models share the core language-model surface, 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 7B Instruct lists $0.05/1M input and $0.25/1M output tokens, while Mixtral 8x22B Instruct v0.3 lists $2/1M input and $2/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemma 7B Instruct lower by about $1.89 per million blended tokens. Availability is 8 providers versus 1, 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 Mixtral 8x22B Instruct v0.3 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 Mixtral 8x22B Instruct v0.3?
Mixtral 8x22B Instruct v0.3 supports 64K 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 Mixtral 8x22B Instruct v0.3?
Gemma 7B Instruct is cheaper on tracked token pricing. Gemma 7B Instruct costs $0.05/1M input and $0.25/1M output tokens. Mixtral 8x22B Instruct v0.3 costs $2/1M input and $2/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemma 7B Instruct or Mixtral 8x22B Instruct v0.3 open source?
Gemma 7B Instruct is listed under Open Source. Mixtral 8x22B Instruct v0.3 is listed under Apache 2.0. 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 function calling, Gemma 7B Instruct or Mixtral 8x22B Instruct v0.3?
Mixtral 8x22B Instruct v0.3 has the clearer documented function calling signal in this comparison. If function calling 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 7B Instruct or Mixtral 8x22B Instruct v0.3?
Gemma 7B Instruct has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Gemma 7B Instruct and Mixtral 8x22B Instruct v0.3?
Gemma 7B Instruct is available on NVIDIA NIM, Fireworks AI, Together AI, GCP Vertex AI, and Cloudflare Workers AI. Mixtral 8x22B Instruct v0.3 is available on Replicate API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.