Gemini 3.1 Pro Preview vs Mixtral 8x7B
Gemini 3.1 Pro Preview (2026) and Mixtral 8x7B (2023) are compact production models from Google DeepMind and MistralAI. Gemini 3.1 Pro Preview ships a 1m-token context window, while Mixtral 8x7B ships a 32k-token context window. On Google-Proof Q&A, Gemini 3.1 Pro Preview leads by 39.5 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Gemini 3.1 Pro Preview fits 31x more tokens; pick it for long-context work and Mixtral 8x7B for tighter calls.
Decision scorecard
Local evidence first| Signal | Gemini 3.1 Pro Preview | Mixtral 8x7B |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and long-context analysis | provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding and Classification |
| Context window | 1m | 32k |
| Cheapest output | $12/1M tokens | $0.45/1M tokens |
| Provider routes | 5 tracked | 18 tracked |
| Shared benchmarks | Google-Proof Q&A leader | 3 shared |
Decision tradeoffs
- Gemini 3.1 Pro Preview holds a shared-benchmark lead on Google-Proof Q&A, ahead by 39.5 points.
- Gemini 3.1 Pro Preview has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Gemini 3.1 Pro Preview uniquely exposes Vision, Multimodal, and Function calling in local model data.
- Local decision data tags Gemini 3.1 Pro Preview for Coding, RAG, and Agents.
- Mixtral 8x7B has the lower cheapest tracked output price at $0.45/1M tokens.
- Mixtral 8x7B has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Mixtral 8x7B for Coding and Classification.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Gemini 3.1 Pro Preview
$4,600
Cheapest tracked route/tier: Google AI Studio
Mixtral 8x7B
$233
Cheapest tracked route/tier: Mistral AI Studio
Estimated monthly gap: $4,368. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on GCP Vertex AI and Replicate API; start route-level A/B tests there.
- Mixtral 8x7B is $11.55/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
- Provider overlap exists on GCP Vertex AI and Replicate API; start route-level A/B tests there.
- Gemini 3.1 Pro Preview is $11.55/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Gemini 3.1 Pro Preview adds Vision, Multimodal, and Function calling in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-02-19 | 2023-12-11 |
| Context window | 1m | 32k |
| Parameters | — | 8x7B |
| Architecture | Decoder Only | Mixture of Experts |
| License | Proprietary | Apache 2.0OSI-approved |
| Openness | Proprietary | Open source |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2025-01 | 2023-12 |
Pricing and availability
| Pricing attribute | Gemini 3.1 Pro Preview | Mixtral 8x7B |
|---|---|---|
| Input price |
| $0.15/1M tokens |
| Output price |
| $0.45/1M tokens |
| Providers |
Capabilities
| Capability | Gemini 3.1 Pro Preview | Mixtral 8x7B |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | No |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Gemini 3.1 Pro Preview | Mixtral 8x7B |
|---|---|---|
| Google-Proof Q&A | 94.3 | 54.8 |
| HumanEval | 94.0 | 80.5 |
| Massive Multitask Language Understanding | 98.0 | 80.2 |
Deep dive
On shared benchmark coverage, Google-Proof Q&A has Gemini 3.1 Pro Preview at 94.3 and Mixtral 8x7B at 54.8, with Gemini 3.1 Pro Preview ahead by 39.5 points; HumanEval has Gemini 3.1 Pro Preview at 94 and Mixtral 8x7B at 80.5, with Gemini 3.1 Pro Preview ahead by 13.5 points; Massive Multitask Language Understanding has Gemini 3.1 Pro Preview at 98 and Mixtral 8x7B at 80.2, with Gemini 3.1 Pro Preview ahead by 17.8 points. The largest visible gap is 39.5 points on Google-Proof Q&A, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on vision: Gemini 3.1 Pro Preview, multimodal input: Gemini 3.1 Pro Preview, function calling: Gemini 3.1 Pro Preview, tool use: Gemini 3.1 Pro Preview, structured outputs: Gemini 3.1 Pro Preview, and code execution: Gemini 3.1 Pro Preview. 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 3.1 Pro Preview lists tiered pricing: 0-200,001t is $2/1M input and $12/1M output; 200,001t+ is $4/1M input and $18/1M output, while Mixtral 8x7B lists $0.15/1M input and $0.45/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mixtral 8x7B lower by about $4.76 per million blended tokens. For tiered rows, this cheapest-track view can understate interactive or fast-lane spend, so compare the tier you will actually use. Availability is 5 providers versus 18, so concentration risk also matters.
Choose Gemini 3.1 Pro Preview when coding workflow support and larger context windows are central to the workload. Choose Mixtral 8x7B 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.
FAQ
Which has a larger context window, Gemini 3.1 Pro Preview or Mixtral 8x7B?
Gemini 3.1 Pro Preview supports 1m tokens, while Mixtral 8x7B supports 32k 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 3.1 Pro Preview or Mixtral 8x7B?
Gemini 3.1 Pro Preview lists tiered pricing: 0-200,001t is $2/1M input and $12/1M output; 200,001t+ is $4/1M input and $18/1M output. Mixtral 8x7B lists $0.15/1M input and $0.45/1M output tokens on the cheapest tracked provider. Compare the tier you will actually use; cheap async pricing can overstate savings for interactive workflows. Provider discounts or batch pricing can still change the final bill.
Is Gemini 3.1 Pro Preview or Mixtral 8x7B open source?
Gemini 3.1 Pro Preview is listed under Proprietary. Mixtral 8x7B 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 vision, Gemini 3.1 Pro Preview or Mixtral 8x7B?
Gemini 3.1 Pro Preview has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, Gemini 3.1 Pro Preview or Mixtral 8x7B?
Gemini 3.1 Pro Preview has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Gemini 3.1 Pro Preview and Mixtral 8x7B?
Gemini 3.1 Pro Preview is available on Google AI Studio, GCP Vertex AI, OpenRouter, Replicate API, and Vercel AI Gateway. Mixtral 8x7B is available on Databricks Foundation Model Serving, NVIDIA NIM, GCP Vertex AI, AWS Bedrock, and OctoAI API (Deprecated). Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-19. Data sourced from public model cards and provider documentation.