Gemini 3.1 Pro vs Qwen3.7 Max

Model Markets Rankings

Intelligence, Cost, and Efficiency

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RankingGemini 3.1 ProQwen3.7 Max
CostLower is better · Published-token output estimate#22 of 36$0.161 per LiveBench case#12 of 36$0.057 per LiveBench case

Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.

Benchmark Performance

Available Benchmarks

BenchmarkGemini 3.1 ProQwen3.7 Max
LMArena Agent Arenaagent-2026-08-31-011508720696 · outcome_score · statistical tie-3.1398% of row best · score · Gemini 3.1 Pro Preview; 95% CI [-4.00806078, -2.24630473]; sessions 83248; observations 2709356; rank 40-1.36100% of row best · score · Qwen3.7 Max; 95% CI [-2.27613811, -0.44192410]; sessions 35069; observations 1551158; rank 35
LiveBench2026-06-25 · overall · leader81.66100% of row best · percent · gemini-3.1-pro-preview-high · 13,380 output tokens / case77.5095% of row best · percent · qwen3.7-max · 12,909 output tokens / case
ToneBench2026-08-28-10-task-cd9819ab6e4d · overall_score · leader79.8998% of row best · points · Gemini 3.1 Pro (high thinking) · 10,009 output tokens / case81.26100% of row best · points · Qwen3.7 Max (default) · 8,636 output tokens / case
Overall ResultCounted from the protocol-matched rows above · 1 tie1 benchmark winTied overall1 benchmark winTied overall

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

FieldAt a Glance
Google DeepMind · previewGemini 3.1 ProVerified Aug 29, 2026
Qwen · activeQwen3.7 MaxVerified Sep 3, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldGemini 3.1 ProQwen3.7 Max
DeveloperGoogle DeepMindQwen
FamilyGemini 3Qwen3 7
ModelGemini 3.1 ProQwen3.7 Max
VersionGemini 3.1 ProQwen3.7 Max
Lifecyclepreviewactive
ReleasedUnknown2026-05-20
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, Audio, DocumentText, Image, Video
Output modalitiesTextText
Context window1,049K1,000K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessGoogle AI (Standard), Google Gemini (Standard)Alibaba Cloud Model Studio (Standard), Deepinfra (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, reasoning, toolsagents, chat, generation, reasoning, structured_outputs, tools, vision

13 comparable fields · 9 material differences · Pair passes the primary-source comparison gate

Gemini 3.1 Pro Capabilities

chatgenerationreasoningtools
Input price$2.00
Output price$12.00
Serving providers2
Canonical IDgoogle-deepmind/gemini-3.1-pro-preview

Qwen3.7 Max Capabilities

agentschatgenerationreasoningstructured outputstoolsvision
Input price$1.475
Output price$4.425
Serving providers4
Canonical IDqwen/qwen3.7-max

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

Gemini 3.1 Pro vs Qwen3.7 Max FAQs

Is Gemini 3.1 Pro or Qwen3.7 Max better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.1 Pro and Qwen3.7 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 Qwen3.7 Max?+

Gemini 3.1 Pro is $2.00 and Qwen3.7 Max is $1.475 per million tokens, so Qwen3.7 Max is cheaper on this metric. Gemini 3.1 Pro is $12.00 and Qwen3.7 Max is $4.425 per million tokens, so Qwen3.7 Max is cheaper on this metric.

Which has a larger context window, Gemini 3.1 Pro or Qwen3.7 Max?+

Gemini 3.1 Pro has the larger sourced context window. Gemini 3.1 Pro supports 1,049K and Qwen3.7 Max supports 1,000K.

Which performs better in benchmarks, Gemini 3.1 Pro or Qwen3.7 Max?+

There is no overall benchmark winner: The verified common benchmarks do not produce a majority winner.

Can Gemini 3.1 Pro or Qwen3.7 Max be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Gemini 3.1 Pro is not marked open weight; Qwen3.7 Max is not marked open weight.

Can Gemini 3.1 Pro and Qwen3.7 Max understand images?+

Gemini 3.1 Pro is documented with image input; Qwen3.7 Max is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemini 3.1 Pro or Qwen3.7 Max?+

Neither has a larger sourced maximum output. Gemini 3.1 Pro is 66K and Qwen3.7 Max is 66K.

Do Gemini 3.1 Pro and Qwen3.7 Max support reasoning and tool use?+

Gemini 3.1 Pro: reasoning, tool calling, and image input. Qwen3.7 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 Qwen3.7 Max?+

Gemini 3.1 Pro has 2 sourced provider routes; Qwen3.7 Max has 4, so Qwen3.7 Max has broader tracked availability.

Which offers better value, Gemini 3.1 Pro or Qwen3.7 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.

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