Qwen3.5 397B A17B vs Gemma 4 E2B

At a Glance

Compare
Gemma 4 E2BGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.45Deepinfra · Sep 21, 2026Not reported
Output priceFrom · USD / 1M tokens$3.00Deepinfra · Sep 21, 2026Not reported
Context windowMaximum documented tokens262K131K
Model facts checkedAug 28, 2026View model evidence →Sep 3, 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 →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldQwen3.5-397B-A17BGemma 4 E2B
DeveloperQwenGoogle DeepMind
FamilyQwen3 5 397b A17bGemma 4
ModelQwen3.5-397B-A17BGemma 4 E2B
VersionQwen3.5-397B-A17BGemma 4 E2B
Lifecycleactiveactive
Released2026-02-152026-03-02
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText, Image, Video, Audio
Output modalitiesTextText
Context window262K131K
Total parameters403.4BUnknown
Active parameters17BUnknown
Licenseapache-2.0apache-2.0
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessDeepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Together Ai (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, structured_outputs, tools

Qwen3.5 397B A17B Capabilities

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

Gemma 4 E2B Capabilities

chatgenerationreasoningstructured outputstools
Serving providers1
Canonical IDgoogle/gemma-4-E2B-it

Primary Evidence

Sources and Freshness

Questions

Qwen3.5 397B A17B vs Gemma 4 E2B FAQs

Is Qwen3.5 397B A17B or Gemma 4 E2B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.5 397B A17B and Gemma 4 E2B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3.5 397B A17B or Gemma 4 E2B?+

Only Qwen3.5 397B A17B has a directly sourced input price: $0.45 per million tokens. Only Qwen3.5 397B A17B has a directly sourced output price: $3.00 per million tokens.

Which has a larger context window, Qwen3.5 397B A17B or Gemma 4 E2B?+

Qwen3.5 397B A17B has the larger sourced context window. Qwen3.5 397B A17B supports 262K and Gemma 4 E2B supports 131K.

Which performs better in benchmarks, Qwen3.5 397B A17B or Gemma 4 E2B?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Qwen3.5 397B A17B or Gemma 4 E2B be self-hosted?+

Both models have the same recorded self-hosting status: supported. Qwen3.5 397B A17B is open weight; Gemma 4 E2B is open weight.

Can Qwen3.5 397B A17B and Gemma 4 E2B understand images?+

Qwen3.5 397B A17B is documented with image input; Gemma 4 E2B is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3.5 397B A17B or Gemma 4 E2B?+

Neither has a larger sourced maximum output. Qwen3.5 397B A17B is — and Gemma 4 E2B is —.

Do Qwen3.5 397B A17B and Gemma 4 E2B support reasoning and tool use?+

Qwen3.5 397B A17B: reasoning, tool calling, and image input. Gemma 4 E2B: 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 Gemma 4 E2B?+

Qwen3.5 397B A17B has 4 sourced provider routes; Gemma 4 E2B has 1, so Qwen3.5 397B A17B has broader tracked availability.

Which offers better value, Qwen3.5 397B A17B or Gemma 4 E2B?+

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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