Qwen3.8 2.4T A95B vs Qwen3.7 Plus

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokens$2.00Deepinfra · Sep 22, 2026$0.32Openrouter · Sep 22, 2026
Output priceFrom · USD / 1M tokens$6.00Deepinfra · Sep 22, 2026$1.28Openrouter · Sep 22, 2026
Context windowMaximum documented tokens262K1,000K
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

FieldQwen3.8-2.4T-A95BQwen3.7-Plus
DeveloperQwenQwen
FamilyQwen3 8 2 4t A95bQwen3 7 Plus
ModelQwen3.8-2.4T-A95BQwen3.7-Plus
VersionQwen3.8-2.4T-A95BQwen3.7-Plus
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image, Video
Output modalitiesTextText
Context window262K1,000K
Total parameters2.4TUnknown
Active parameters95BUnknown
LicenseotherUnknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Alibaba Cloud Model Studio (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, reasoning, toolsagents, chat, computer-use, reasoning, structured_outputs, tools, vision

Qwen3.8 2.4T A95B Capabilities

chatgenerationreasoningtools
Serving providers5
Canonical IDQwen/Qwen3.8-2.4T-A95B

Qwen3.7 Plus Capabilities

agentschatcomputer-usereasoningstructured outputstoolsvision
Serving providers4
Canonical IDqwen/qwen3.7-plus

Primary Evidence

Sources and Freshness

Questions

Qwen3.8 2.4T A95B vs Qwen3.7 Plus FAQs

Is Qwen3.8 2.4T A95B or Qwen3.7 Plus better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8 2.4T A95B and Qwen3.7 Plus, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3.8 2.4T A95B or Qwen3.7 Plus?+

Qwen3.8 2.4T A95B is $2.00 and Qwen3.7 Plus is $0.32 per million tokens, so Qwen3.7 Plus is cheaper on this metric. Qwen3.8 2.4T A95B is $6.00 and Qwen3.7 Plus is $1.28 per million tokens, so Qwen3.7 Plus is cheaper on this metric.

Which has a larger context window, Qwen3.8 2.4T A95B or Qwen3.7 Plus?+

Qwen3.7 Plus has the larger sourced context window. Qwen3.8 2.4T A95B supports 262K and Qwen3.7 Plus supports 1,000K.

Which performs better in benchmarks, Qwen3.8 2.4T A95B or Qwen3.7 Plus?+

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

Can Qwen3.8 2.4T A95B or Qwen3.7 Plus be self-hosted?+

Qwen3.8 2.4T A95B is the only model in this pair currently marked as self-hostable. Qwen3.8 2.4T A95B is open weight; Qwen3.7 Plus is not marked open weight.

Can Qwen3.8 2.4T A95B and Qwen3.7 Plus understand images?+

Qwen3.8 2.4T A95B is not documented with image input; Qwen3.7 Plus is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3.8 2.4T A95B or Qwen3.7 Plus?+

Neither has a larger sourced maximum output. Qwen3.8 2.4T A95B is — and Qwen3.7 Plus is 131K.

Do Qwen3.8 2.4T A95B and Qwen3.7 Plus support reasoning and tool use?+

Qwen3.8 2.4T A95B: reasoning and tool calling. Qwen3.7 Plus: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3.8 2.4T A95B or Qwen3.7 Plus?+

Qwen3.8 2.4T A95B has 5 sourced provider routes; Qwen3.7 Plus has 4, so Qwen3.8 2.4T A95B has broader tracked availability.

Which offers better value, Qwen3.8 2.4T A95B or Qwen3.7 Plus?+

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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