Model comparison
Gemma 2 vs Mixtral 8x22B
- Input
- Free to download and self-host
- Output
- Free to download and self-host
- Context
- 8,192 tokens
- Released
- 2024-06-27
- Input
- $2.00 per 1M tokens
- Output
- $6.00 per 1M tokens
- Context
- 64K
- Released
- 2024-04-10
Mixtral 8x22B scores higher on 3 of the 3 benchmarks both models report; Mixtral 8x22B has the larger context window (64K vs 8K).
Specs and pricing side by side
| Spec | Gemma 2 | Mixtral 8x22B |
|---|---|---|
| Maker | Mistral AI | |
| Released | 2024-06-27 | 2024-04-10 |
| Context window | 8,192 tokens | 64K |
| Max output | Not separately specified; output shares the… | 4K (la Plateforme; ~8K on some providers) |
| Input price | Free to download and self-host | $2.00 per 1M tokens |
| Output price | Free to download and self-host | $6.00 per 1M tokens |
| Parameters | Three sizes: 2B (2.6B), 9B, and 27B parameters | 141B total, 39B active per token |
| License | Gemma (Gemma Terms of Use) — a custom, commercially permissive license that allows redistribution, fine-tuning, commercial use, and derivative works subject to a prohibited-use policy. Not OSI-approved (not Apache 2.0). | Apache 2.0 |
| Weights | Open weights | Open weightssame |
| Modalities | text | Text |
| Knowledge cutoff | Not officially published by Google for Gemma 2 | Not publicly disclosed by Mistral AI |
Benchmarks both models report
| Benchmark | Gemma 2 | Mixtral 8x22B |
|---|---|---|
| MMLU | 75.2% | 77.7% |
| GSM8K | 74% | 90.8% |
| MATH | 42.3% | 44.6% |
Scores are as published by each maker or its cited source; harness, reasoning effort and date can differ between rows, so treat small gaps as ties. Sources are listed on each model page.
Which one should you pick?
Pick Gemma 2 if…
- You need text input, which Mixtral 8x22B lacks.
- Your use case is: on-device and self-hosted text generation, summarization, and extraction where data must stay local.
Pick Mixtral 8x22B if…
- You care about MMLU, GSM8K, MATH (it scores higher on 3 shared benchmarks).
- You need the longer context (64K vs 8K).
- You need Text input, which Gemma 2 lacks.
- Your use case is: self-hosted open-weight LLM deployments where data must stay on-premises or in a controlled environment.
FAQ
Which is better, Gemma 2 or Mixtral 8x22B?
Mixtral 8x22B scores higher on 3 of the 3 benchmarks both models report; Mixtral 8x22B has the larger context window (64K vs 8K). The better pick depends on whether you value benchmark scores, price per token, context length or openness for your workload.
What are the context windows of Gemma 2 and Mixtral 8x22B?
Gemma 2 offers 8,192 tokens with up to Not separately specified; output shares the 8,192-token context window output; Mixtral 8x22B offers 64K with up to 4K (la Plateforme; ~8K on some providers) output.
Is Gemma 2 newer than Mixtral 8x22B?
Gemma 2 was released 2024-06-27; Mixtral 8x22B was released 2024-04-10.