Gemini 2.5 Pro Preview 05-06 vs Mixtral 8x22B v0.1
Gemini 2.5 Pro Preview 05-06 (2025) and Mixtral 8x22B v0.1 (2024) are compact production models from Google DeepMind and MistralAI. Gemini 2.5 Pro Preview 05-06 ships a 1M-token context window, while Mixtral 8x22B v0.1 ships a 64K-token context window. On pricing, Mixtral 8x22B v0.1 costs $0.3/1M input tokens versus $1.25/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Mixtral 8x22B v0.1 is ~317% cheaper at $0.3/1M; pay for Gemini 2.5 Pro Preview 05-06 only for long-context analysis.
Specs
| Released | 2025-05-06 | 2024-04-17 |
| Context window | 1M | 64K |
| Parameters | — | 8x22B |
| Architecture | decoder only | mixture of experts |
| License | Unknown | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| Gemini 2.5 Pro Preview 05-06 | Mixtral 8x22B v0.1 | |
|---|---|---|
| Input price | $1.25/1M tokens | $0.3/1M tokens |
| Output price | $10/1M tokens | $0.9/1M tokens |
| Providers |
Capabilities
| Gemini 2.5 Pro Preview 05-06 | Mixtral 8x22B v0.1 | |
|---|---|---|
| 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 structured outputs: Gemini 2.5 Pro Preview 05-06. 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, Gemini 2.5 Pro Preview 05-06 lists $1.25/1M input and $10/1M output tokens, while Mixtral 8x22B v0.1 lists $0.3/1M input and $0.9/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mixtral 8x22B v0.1 lower by about $3.4 per million blended tokens. Availability is 1 providers versus 8, so concentration risk also matters.
Choose Gemini 2.5 Pro Preview 05-06 when long-context analysis and larger context windows are central to the workload. Choose Mixtral 8x22B v0.1 when provider fit, lower input-token cost, and broader provider choice 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, Gemini 2.5 Pro Preview 05-06 or Mixtral 8x22B v0.1?
Gemini 2.5 Pro Preview 05-06 supports 1M tokens, while Mixtral 8x22B v0.1 supports 64K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Gemini 2.5 Pro Preview 05-06 or Mixtral 8x22B v0.1?
Mixtral 8x22B v0.1 is cheaper on tracked token pricing. Gemini 2.5 Pro Preview 05-06 costs $1.25/1M input and $10/1M output tokens. Mixtral 8x22B v0.1 costs $0.3/1M input and $0.9/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemini 2.5 Pro Preview 05-06 or Mixtral 8x22B v0.1 open source?
Gemini 2.5 Pro Preview 05-06 is listed under Unknown. Mixtral 8x22B v0.1 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 structured outputs, Gemini 2.5 Pro Preview 05-06 or Mixtral 8x22B v0.1?
Gemini 2.5 Pro Preview 05-06 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 Gemini 2.5 Pro Preview 05-06 and Mixtral 8x22B v0.1?
Gemini 2.5 Pro Preview 05-06 is available on OpenRouter. Mixtral 8x22B v0.1 is available on NVIDIA NIM, OctoAI API, Fireworks AI, DeepInfra, and Baseten API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Gemini 2.5 Pro Preview 05-06 over Mixtral 8x22B v0.1?
Mixtral 8x22B v0.1 is ~317% cheaper at $0.3/1M; pay for Gemini 2.5 Pro Preview 05-06 only for long-context analysis. If your workload also depends on long-context analysis, start with Gemini 2.5 Pro Preview 05-06; if it depends on provider fit, run the same evaluation with Mixtral 8x22B v0.1.
Continue comparing
Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.