Qwen3 Coder Next Base vs Gemma 4 26B A4B

At a Glance

Compare
Gemma 4 26B A4BGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.070Deepinfra · Sep 22, 2026
Output priceFrom · USD / 1M tokensNot reported$0.30Openrouter · Sep 22, 2026
Context windowMaximum documented tokens262K262K
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-Coder-Next-BaseGemma 4 26B-A4B
DeveloperQwenGoogle DeepMind
FamilyQwen3 Coder Next BaseGemma 4
ModelQwen3-Coder-Next-BaseGemma 4 26B-A4B
VersionQwen3-Coder-Next-BaseGemma 4 26B-A4B
Lifecycleactiveactive
ReleasedUnknown2026-03-11
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image
Output modalitiesTextText
Context window262K262K
Total parameters79.7B26B
Active parameters3B4B
Licenseapache-2.0apache-2.0
Open weightsYesYes
API availableUnknownYes
Self-hostableYesYes
Provider accessUnknownDeepinfra (Standard), Google Gemini (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, toolschat, generation, reasoning, structured_outputs, tools

Qwen3 Coder Next Base Capabilities

chatgenerationtools
Serving providers0
Canonical IDQwen/Qwen3-Coder-Next-Base

Gemma 4 26B A4B Capabilities

chatgenerationreasoningstructured outputstools
Serving providers4
Canonical IDgoogle/gemma-4-26B-A4B-it

Primary Evidence

Sources and Freshness

Questions

Qwen3 Coder Next Base vs Gemma 4 26B A4B FAQs

Is Qwen3 Coder Next Base or Gemma 4 26B A4B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3 Coder Next Base and Gemma 4 26B A4B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3 Coder Next Base or Gemma 4 26B A4B?+

Only Gemma 4 26B A4B has a directly sourced input price: $0.070 per million tokens. Only Gemma 4 26B A4B has a directly sourced output price: $0.30 per million tokens.

Which has a larger context window, Qwen3 Coder Next Base or Gemma 4 26B A4B?+

Neither model has a larger sourced context window in this comparison. Qwen3 Coder Next Base is 262K and Gemma 4 26B A4B is 262K.

Which performs better in benchmarks, Qwen3 Coder Next Base or Gemma 4 26B A4B?+

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

Can Qwen3 Coder Next Base or Gemma 4 26B A4B be self-hosted?+

Both models have the same recorded self-hosting status: supported. Qwen3 Coder Next Base is open weight; Gemma 4 26B A4B is open weight.

Can Qwen3 Coder Next Base and Gemma 4 26B A4B understand images?+

Qwen3 Coder Next Base is not documented with image input; Gemma 4 26B A4B is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3 Coder Next Base or Gemma 4 26B A4B?+

Neither has a larger sourced maximum output. Qwen3 Coder Next Base is — and Gemma 4 26B A4B is —.

Do Qwen3 Coder Next Base and Gemma 4 26B A4B support reasoning and tool use?+

Qwen3 Coder Next Base: tool calling. Gemma 4 26B A4B: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3 Coder Next Base or Gemma 4 26B A4B?+

Qwen3 Coder Next Base has 0 sourced provider routes; Gemma 4 26B A4B has 4, so Gemma 4 26B A4B has broader tracked availability.

Which offers better value, Qwen3 Coder Next Base or Gemma 4 26B A4B?+

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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