Qwen3.5 397B A17B vs Gemini 2.5 Pro

At a Glance

Compare
Gemini 2.5 ProGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.45Deepinfra · Sep 22, 2026$1.25Google AI · Aug 29, 2026
Output priceFrom · USD / 1M tokens$3.00Deepinfra · Sep 22, 2026$10.00Google AI · Aug 29, 2026
Context windowMaximum documented tokens262K1,049K
Model facts checkedAug 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

All benchmark results →
BenchmarkQwen3.5-397B-A17BGemini 2.5 Pro
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,438.2699% of row best · rating · qwen3.5-397b-a17b; 95% CI [1434.97391785, 1441.55191176]; votes 77007; rank 711,457.77100% of row best · rating · gemini-2.5-pro; 95% CI [1455.30542635, 1460.23799206]; votes 122554; rank 36
LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · statistical tie1,265.15100% of row best · rating · qwen3.5-397b-a17b; 95% CI [1259.44632362, 1270.86149272]; votes 27569; rank 421,262.17100% of row best · rating · gemini-2.5-pro; 95% CI [1257.50456844, 1266.82595195]; votes 87635; rank 45
Overall ResultCounted from the protocol-matched rows above · 1 tie0 benchmark winsNo overall winner1 benchmark winNo overall winner

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

FieldQwen3.5-397B-A17BGemini 2.5 Pro
DeveloperQwenGoogle DeepMind
FamilyQwen3 5 397b A17bGemini 2 5
ModelQwen3.5-397B-A17BGemini 2.5 Pro
VersionQwen3.5-397B-A17BGemini 2.5 Pro
Lifecycleactiveactive
Released2026-02-15Unknown
Knowledge cutoffUnknown2025-01-01
Input modalitiesText, ImageText, Image, Video, Audio, Document
Output modalitiesTextText
Context window262K1,049K
Total parameters403.4BUnknown
Active parameters17BUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Google AI (Standard), Google Gemini (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, tools

Qwen3.5 397B A17B Capabilities

chatgenerationreasoningtools
Serving providers4
Canonical IDQwen/Qwen3.5-397B-A17B

Gemini 2.5 Pro Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDgoogle-deepmind/gemini-2.5-pro

Primary Evidence

Sources and Freshness

Questions

Qwen3.5 397B A17B vs Gemini 2.5 Pro FAQs

Is Qwen3.5 397B A17B or Gemini 2.5 Pro better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.5 397B A17B and Gemini 2.5 Pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3.5 397B A17B or Gemini 2.5 Pro?+

Qwen3.5 397B A17B is $0.45 and Gemini 2.5 Pro is $1.25 per million tokens, so Qwen3.5 397B A17B is cheaper on this metric. Qwen3.5 397B A17B is $3.00 and Gemini 2.5 Pro is $10.00 per million tokens, so Qwen3.5 397B A17B is cheaper on this metric.

Which has a larger context window, Qwen3.5 397B A17B or Gemini 2.5 Pro?+

Gemini 2.5 Pro has the larger sourced context window. Qwen3.5 397B A17B supports 262K and Gemini 2.5 Pro supports 1,049K.

Which performs better in benchmarks, Qwen3.5 397B A17B or Gemini 2.5 Pro?+

There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.

Can Qwen3.5 397B A17B or Gemini 2.5 Pro be self-hosted?+

Qwen3.5 397B A17B is the only model in this pair currently marked as self-hostable. Qwen3.5 397B A17B is open weight; Gemini 2.5 Pro is not marked open weight.

Can Qwen3.5 397B A17B and Gemini 2.5 Pro understand images?+

Qwen3.5 397B A17B is documented with image input; Gemini 2.5 Pro is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3.5 397B A17B or Gemini 2.5 Pro?+

Neither has a larger sourced maximum output. Qwen3.5 397B A17B is — and Gemini 2.5 Pro is 66K.

Do Qwen3.5 397B A17B and Gemini 2.5 Pro support reasoning and tool use?+

Qwen3.5 397B A17B: reasoning, tool calling, and image input. Gemini 2.5 Pro: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3.5 397B A17B or Gemini 2.5 Pro?+

Qwen3.5 397B A17B has 4 sourced provider routes; Gemini 2.5 Pro has 2, so Qwen3.5 397B A17B has broader tracked availability.

Which offers better value, Qwen3.5 397B A17B or Gemini 2.5 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.

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