Model comparison
Mixtral 8x22B vs Gemini 1.0 Pro
- Input
- $2.00 per 1M tokens
- Output
- $6.00 per 1M tokens
- Context
- 64K
- Released
- 2024-04-10
- Input
- $0.50
- Output
- $1.50
- Context
- 32K tokens (~32,760 input)
- Released
- 2023-12-13
Mixtral 8x22B scores higher on 3 of the 3 benchmarks both models report; Gemini 1.0 Pro is cheaper on input tokens ($0.5 vs $2 per 1M, 4×); Mixtral 8x22B has the larger context window (64K vs 32K); Mixtral 8x22B ships open weights while Gemini 1.0 Pro is API-only.
Specs and pricing side by side
| Spec | Mixtral 8x22B | Gemini 1.0 Pro |
|---|---|---|
| Maker | Mistral AI | |
| Released | 2024-04-10 | 2023-12-13 |
| Context window | 64K | 32K tokens (~32,760 input) |
| Max output | 4K (la Plateforme; ~8K on some providers) | 8,192 tokens |
| Input price | $2.00 per 1M tokens | $0.50 |
| Output price | $6.00 per 1M tokens | $1.50 |
| Parameters | 141B total, 39B active per token | Undisclosed |
| License | Apache 2.0 | Proprietary |
| Weights | Open weights | API only |
| Modalities | Text | Text, Vision (image input, via Gemini 1.0 Pro Vision) |
| Knowledge cutoff | Not publicly disclosed by Mistral AI | Early 2023 (around April 2023) |
Benchmarks both models report
| Benchmark | Mixtral 8x22B | Gemini 1.0 Pro |
|---|---|---|
| MMLU | 77.7% | 71.8% |
| GSM8K | 90.8% | 86.5% |
| Math | 44.6% | 32.6% |
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 Mixtral 8x22B if…
- You care about MMLU, GSM8K, Math (it scores higher on 3 shared benchmarks).
- You need the longer context (64K vs 32K).
- You want to self-host or fine-tune (open weights, Apache 2.0).
- Your use case is: self-hosted open-weight LLM deployments where data must stay on-premises or in a controlled environment.
Pick Gemini 1.0 Pro if…
- Cost matters: input tokens cost 4× less ($0.5 vs $2 per 1M).
- You need Vision (image input, via Gemini 1.0 Pro Vision) input, which Mixtral 8x22B lacks.
- Your use case is: multi-turn text and code chat assistants.
FAQ
Which is better, Mixtral 8x22B or Gemini 1.0 Pro?
Mixtral 8x22B scores higher on 3 of the 3 benchmarks both models report; Gemini 1.0 Pro is cheaper on input tokens ($0.5 vs $2 per 1M, 4×); Mixtral 8x22B has the larger context window (64K vs 32K); Mixtral 8x22B ships open weights while Gemini 1.0 Pro is API-only. The better pick depends on whether you value benchmark scores, price per token, context length or openness for your workload.
How much cheaper is Gemini 1.0 Pro?
Mixtral 8x22B: $2.00 per 1M tokens input, $6.00 per 1M tokens output. Gemini 1.0 Pro: $0.50 input, $1.50 output (list API prices as published by each maker).
What are the context windows of Mixtral 8x22B and Gemini 1.0 Pro?
Mixtral 8x22B offers 64K with up to 4K (la Plateforme; ~8K on some providers) output; Gemini 1.0 Pro offers 32K tokens (~32,760 input) with up to 8,192 tokens output.
Is Mixtral 8x22B newer than Gemini 1.0 Pro?
Mixtral 8x22B was released 2024-04-10; Gemini 1.0 Pro was released 2023-12-13.
Go deeper
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