Gemini 3.1 Pro vs Qwen3.8 Max
At a Glance
| Compare |  Gemini 3.1 ProGoogle DeepMind |  Qwen3.8 MaxQwen |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | #9 of 5782.1 score · 3/3 sources · complete | #7 of 5783.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 55.6–88.9 |
| CostLower is better · Published-token output estimate | #18 of 27$0.161 per LiveBench case | #16 of 27$0.107 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.9 | #8 of 2754.6 score · 3/3 sources · complete | #6 of 2758.6 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 44.7–61.3 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $2.00Google AI ↗ · Aug 29, 2026 | $1.65Deepinfra ↗ · Oct 19, 2026 |
| Output priceFrom · USD / 1M tokens | $12.00Google AI ↗ · Aug 29, 2026 | $4.951Deepinfra ↗ · Oct 19, 2026 |
| Context windowMaximum documented tokens | 1,049K | 1,000K |
| Model facts checked | Aug 29, 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
| Benchmark | Gemini 3.1 Pro | Qwen3.8-Max |
|---|---|---|
| LMArena Search Arenasearch-2026-10-13-a64ca3b12b6e · arena_rating · leader | 1,208.8196% of row best · rating · gemini-3.1-pro-grounding; 95% CI [1204.12797055, 1213.48336905]; votes 151436; rank 15 | 1,261.08100% of row best · rating · qwen3.8-max; 95% CI [1247.89214823, 1274.26022415]; votes 1870; rank 2 |
| LMArena Vision Arenavision-2026-10-09-a64ca3b12b6e · arena_rating · leader | 1,296.2099% of row best · rating · gemini-3.1-pro-preview; 95% CI [1291.04958388, 1301.35691905]; votes 46320; rank 22 | 1,313.60100% of row best · rating · qwen3.8-max; 95% CI [1306.14335895, 1321.05468944]; votes 10017; rank 9 |
| LiveBench2026-06-25-90f8d44da965 · overall · leader | 81.66100% of row best · percent · gemini-3.1-pro-preview-high · 13,380 output tokens / case | 81.88100% of row best · percent · qwen3.8-max · 21,637 output tokens / case |
| ToneBench2026-10-17-10-task-e9c76358afb2 · overall_score · unverified | 70.9992% of row best · points · Gemini 3.1 Pro (high thinking) · 10,029 output tokens / case | 76.83100% of row best · points · Qwen3.8 Max (thinking on) · 29,839 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark wins | 3 benchmark winsOverall lead |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | Gemini 3.1 Pro | Qwen3.8-Max |
|---|---|---|
| Developer | Google DeepMind | Qwen |
| Family | Gemini 3 | Qwen3 8 Max |
| Model | Gemini 3.1 Pro | Qwen3.8-Max |
| Version | Gemini 3.1 Pro | Qwen3.8-Max |
| Lifecycle | preview | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 1,049K | 1,000K |
| Total parameters | Unknown | 2.4T |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Google AI (Standard), Google Gemini (Standard) | Alibaba Cloud Model Studio (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, tools | agents, chat, reasoning, structured_outputs, tools, vision |
Gemini 3.1 Pro Capabilities
Qwen3.8 Max Capabilities
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Primary Evidence
Sources and Freshness
Questions
Gemini 3.1 Pro vs Qwen3.8 Max FAQs
Is Gemini 3.1 Pro or Qwen3.8 Max better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.1 Pro and Qwen3.8 Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 3.1 Pro or Qwen3.8 Max?+
Gemini 3.1 Pro is $2.00 and Qwen3.8 Max is $1.65 per million tokens, so Qwen3.8 Max is cheaper on this metric. Gemini 3.1 Pro is $12.00 and Qwen3.8 Max is $4.951 per million tokens, so Qwen3.8 Max is cheaper on this metric.
Which has a larger context window, Gemini 3.1 Pro or Qwen3.8 Max?+
Gemini 3.1 Pro has the larger sourced context window. Gemini 3.1 Pro supports 1,048,576 tokens and Qwen3.8 Max supports 1,000,000 tokens.
Which performs better in benchmarks, Gemini 3.1 Pro or Qwen3.8 Max?+
Qwen3.8 Max leads the current overall benchmark count. The result uses 3 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can Gemini 3.1 Pro or Qwen3.8 Max be self-hosted?+
Both models have the same sourced self-hosting status: unsupported. Gemini 3.1 Pro is not marked open weight; Qwen3.8 Max is not marked open weight.
Can Gemini 3.1 Pro and Qwen3.8 Max understand images?+
Gemini 3.1 Pro is documented with image input; Qwen3.8 Max is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 3.1 Pro or Qwen3.8 Max?+
Qwen3.8 Max has the larger sourced maximum output. Gemini 3.1 Pro supports 65,536 tokens and Qwen3.8 Max supports 131,072 tokens.
Do Gemini 3.1 Pro and Qwen3.8 Max support reasoning and tool use?+
Gemini 3.1 Pro: reasoning, tool calling, and image input. Qwen3.8 Max: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 3.1 Pro or Qwen3.8 Max?+
Gemini 3.1 Pro has 2 sourced provider routes; Qwen3.8 Max has 4, so Qwen3.8 Max has broader tracked availability.
Which offers better value, Gemini 3.1 Pro or Qwen3.8 Max?+
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.