Qwen3 Coder Next Base vs Gemini Computer Use

At a Glance

Compare
Gemini Computer UseGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$1.25Google AI · Aug 29, 2026
Output priceFrom · USD / 1M tokensNot reported$10.00Google AI · Aug 29, 2026
Context windowMaximum documented tokens262K128K
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 →
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-BaseGemini Computer Use
DeveloperQwenGoogle DeepMind
FamilyQwen3 Coder Next BaseGemini Tools
ModelQwen3-Coder-Next-BaseGemini Computer Use
VersionQwen3-Coder-Next-BaseGemini Computer Use
Lifecycleactivepreview
ReleasedUnknownUnknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image
Output modalitiesTextText
Context window262K128K
Total parameters79.7BUnknown
Active parameters3BUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableUnknownYes
Self-hostableYesNo
Provider accessUnknownGoogle AI (Standard), Google Gemini (Standard)
Capabilitieschat, generation, toolsgeneration, reasoning, tools

Qwen3 Coder Next Base Capabilities

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

Gemini Computer Use Capabilities

generationreasoningtools
Serving providers2
Canonical IDgoogle-deepmind/gemini-2.5-computer-use-preview-10-2025

Primary Evidence

Sources and Freshness

Questions

Qwen3 Coder Next Base vs Gemini Computer Use FAQs

Is Qwen3 Coder Next Base or Gemini Computer Use better for coding?+

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

Which is cheaper, Qwen3 Coder Next Base or Gemini Computer Use?+

Only Gemini Computer Use has a directly sourced input price: $1.25 per million tokens. Only Gemini Computer Use has a directly sourced output price: $10.00 per million tokens.

Which has a larger context window, Qwen3 Coder Next Base or Gemini Computer Use?+

Qwen3 Coder Next Base has the larger sourced context window. Qwen3 Coder Next Base supports 262K and Gemini Computer Use supports 128K.

Which performs better in benchmarks, Qwen3 Coder Next Base or Gemini Computer Use?+

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 Gemini Computer Use be self-hosted?+

Qwen3 Coder Next Base is the only model in this pair currently marked as self-hostable. Qwen3 Coder Next Base is open weight; Gemini Computer Use is not marked open weight.

Can Qwen3 Coder Next Base and Gemini Computer Use understand images?+

Qwen3 Coder Next Base is not documented with image input; Gemini Computer Use is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3 Coder Next Base or Gemini Computer Use?+

Neither has a larger sourced maximum output. Qwen3 Coder Next Base is — and Gemini Computer Use is 64K.

Do Qwen3 Coder Next Base and Gemini Computer Use support reasoning and tool use?+

Qwen3 Coder Next Base: tool calling. Gemini Computer Use: 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 Gemini Computer Use?+

Qwen3 Coder Next Base has 0 sourced provider routes; Gemini Computer Use has 2, so Gemini Computer Use has broader tracked availability.

Which offers better value, Qwen3 Coder Next Base or Gemini Computer Use?+

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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