Qwen3.8 2.4T A95B vs Gemini 3.1 Pro
At a Glance
| Compare |  Gemini 3.1 ProGoogle DeepMind | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #9 of 4679.7 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #27 of 44$0.161 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #9 of 3859.2 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $2.00Deepinfra ↗ · Sep 22, 2026 | $2.00Google AI ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | $6.00Deepinfra ↗ · Sep 22, 2026 | $12.00Google AI ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 262K | 1,049K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 29, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Qwen3.8-2.4T-A95B | Gemini 3.1 Pro |
|---|---|---|
| Developer | Qwen | Google DeepMind |
| Family | Qwen3 8 2 4t A95b | Gemini 3 |
| Model | Qwen3.8-2.4T-A95B | Gemini 3.1 Pro |
| Version | Qwen3.8-2.4T-A95B | Gemini 3.1 Pro |
| Lifecycle | active | preview |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video, Audio, Document |
| Output modalities | Text | Text |
| Context window | 262K | 1,049K |
| Total parameters | 2.4T | Unknown |
| Active parameters | 95B | Unknown |
| License | other | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Google AI (Standard), Google Gemini (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, tools |
Qwen3.8 2.4T A95B Capabilities
Gemini 3.1 Pro Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
| vs | Gemini 2.5 ProGoogle DeepMind | cross-developer peerstext | |
| vs |  GPT-6 AstraOpenAI | cross-developer peerstext | |
| vs | Claude Fable 5.1Anthropic | cross-developer peerstext | |
| vs |  DeepSeek-V4.1-FlashDeepSeek | cross-developer peerstext | |
| vs | Grok 4.6xAI | cross-developer peerstext | |
| vs |  Qwen3.8-MaxQwen | family variantstext | |
| vs |  Kimi-K3Moonshot AI | cross-developer peerstext | |
 MiniMax-M3MiniMax | vs | cross-developer peerstext | |
| vs |  GLM-5.3Z.ai | cross-developer peerstext | |
| vs |  Hy4 previewTencent | cross-developer peerstext | |
| vs | Seed 2.1 ProByteDance Seed | cross-developer peerstext | |
| vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Qwen3.8 2.4T A95B vs Gemini 3.1 Pro FAQs
Is Qwen3.8 2.4T A95B or Gemini 3.1 Pro better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8 2.4T A95B and Gemini 3.1 Pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3.8 2.4T A95B or Gemini 3.1 Pro?+
Qwen3.8 2.4T A95B is $2.00 and Gemini 3.1 Pro is $2.00 per million tokens, so they are tied on this metric. Qwen3.8 2.4T A95B is $6.00 and Gemini 3.1 Pro is $12.00 per million tokens, so Qwen3.8 2.4T A95B is cheaper on this metric.
Which has a larger context window, Qwen3.8 2.4T A95B or Gemini 3.1 Pro?+
Gemini 3.1 Pro has the larger sourced context window. Qwen3.8 2.4T A95B supports 262K and Gemini 3.1 Pro supports 1,049K.
Which performs better in benchmarks, Qwen3.8 2.4T A95B or Gemini 3.1 Pro?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Qwen3.8 2.4T A95B or Gemini 3.1 Pro be self-hosted?+
Qwen3.8 2.4T A95B is the only model in this pair currently marked as self-hostable. Qwen3.8 2.4T A95B is open weight; Gemini 3.1 Pro is not marked open weight.
Can Qwen3.8 2.4T A95B and Gemini 3.1 Pro understand images?+
Qwen3.8 2.4T A95B is not documented with image input; Gemini 3.1 Pro is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3.8 2.4T A95B or Gemini 3.1 Pro?+
Neither has a larger sourced maximum output. Qwen3.8 2.4T A95B is — and Gemini 3.1 Pro is 66K.
Do Qwen3.8 2.4T A95B and Gemini 3.1 Pro support reasoning and tool use?+
Qwen3.8 2.4T A95B: reasoning and tool calling. Gemini 3.1 Pro: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3.8 2.4T A95B or Gemini 3.1 Pro?+
Qwen3.8 2.4T A95B has 5 sourced provider routes; Gemini 3.1 Pro has 2, so Qwen3.8 2.4T A95B has broader tracked availability.
Which offers better value, Qwen3.8 2.4T A95B or Gemini 3.1 Pro?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.