Qwen3 Coder Next Base vs Qwen3.5 397B A17B

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.45Deepinfra · Sep 22, 2026
Output priceFrom · USD / 1M tokensNot reported$3.00Deepinfra · Sep 22, 2026
Context windowMaximum documented tokens262K262K
Model facts checkedAug 28, 2026View model evidence →Aug 28, 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-BaseQwen3.5-397B-A17B
DeveloperQwenQwen
FamilyQwen3 Coder Next BaseQwen3 5 397b A17b
ModelQwen3-Coder-Next-BaseQwen3.5-397B-A17B
VersionQwen3-Coder-Next-BaseQwen3.5-397B-A17B
Lifecycleactiveactive
ReleasedUnknown2026-02-15
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image
Output modalitiesTextText
Context window262K262K
Total parameters79.7B403.4B
Active parameters3B17B
Licenseapache-2.0apache-2.0
Open weightsYesYes
API availableUnknownYes
Self-hostableYesYes
Provider accessUnknownDeepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, toolschat, generation, reasoning, tools

Qwen3 Coder Next Base Capabilities

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

Qwen3.5 397B A17B Capabilities

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

Primary Evidence

Sources and Freshness

Questions

Qwen3 Coder Next Base vs Qwen3.5 397B A17B FAQs

Is Qwen3 Coder Next Base or Qwen3.5 397B A17B better for coding?+

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

Which is cheaper, Qwen3 Coder Next Base or Qwen3.5 397B A17B?+

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 Coder Next Base or Qwen3.5 397B A17B?+

Neither model has a larger sourced context window in this comparison. Qwen3 Coder Next Base is 262K and Qwen3.5 397B A17B is 262K.

Which performs better in benchmarks, Qwen3 Coder Next Base or Qwen3.5 397B A17B?+

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 Qwen3.5 397B A17B be self-hosted?+

Both models have the same recorded self-hosting status: supported. Qwen3 Coder Next Base is open weight; Qwen3.5 397B A17B is open weight.

Can Qwen3 Coder Next Base and Qwen3.5 397B A17B understand images?+

Qwen3 Coder Next Base is not documented with image input; Qwen3.5 397B A17B is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3 Coder Next Base or Qwen3.5 397B A17B?+

Neither has a larger sourced maximum output. Qwen3 Coder Next Base is — and Qwen3.5 397B A17B is —.

Do Qwen3 Coder Next Base and Qwen3.5 397B A17B support reasoning and tool use?+

Qwen3 Coder Next Base: tool calling. Qwen3.5 397B A17B: 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 Qwen3.5 397B A17B?+

Qwen3 Coder Next Base has 0 sourced provider routes; Qwen3.5 397B A17B has 4, so Qwen3.5 397B A17B has broader tracked availability.

Which offers better value, Qwen3 Coder Next Base or Qwen3.5 397B A17B?+

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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