Qwen3.7 Max vs Qwen3.8-Max

Benchmark Performance

Available Benchmarks

BenchmarkQwen3.7 MaxQwen3.8-Max
LMArena Agent Arenaagent-2026-08-31-011508720696 · outcome_score · leader-1.3693% of row best · score · Qwen3.7 Max; 95% CI [-2.27613811, -0.44192410]; sessions 35069; observations 1551158; rank 356.01100% of row best · score · Qwen3.8 Max; 95% CI [4.88117795, 7.13339178]; sessions 18386; observations 1372080; rank 14
LiveBench2026-06-25 · overall · leader77.5095% of row best · percent · qwen3.7-max · 12,909 output tokens / case81.88100% of row best · percent · qwen3.8-max · 21,637 output tokens / case
ToneBench2026-08-28-10-task-cd9819ab6e4d · overall_score · leader81.26100% of row best · points · Qwen3.7 Max (default) · 8,636 output tokens / case81.06100% of row best · points · Qwen3.8 Max · 23,334 output tokens / case
Overall ResultCounted from the protocol-matched rows above1 benchmark win2 benchmark winsOverall lead

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

FieldAt a Glance
Qwen · activeQwen3.7 MaxVerified Sep 3, 2026
Qwen · activeQwen3.8-MaxVerified Aug 29, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldQwen3.7 MaxQwen3.8-Max
DeveloperQwenQwen
FamilyQwen3 7Qwen3 8 Max
ModelQwen3.7 MaxQwen3.8-Max
VersionQwen3.7 MaxQwen3.8-Max
Lifecycleactiveactive
Released2026-05-20Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, VideoText, Image, Video
Output modalitiesTextText
Context window1,000,0001,000,000
Total parametersUnknown2,400,000,000,000
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessAlibaba Cloud Model Studio (Standard), Deepinfra (Standard), Openrouter (Standard), Together Ai (Standard)Alibaba Cloud Model Studio (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard)
Capabilitiesagents, chat, generation, reasoning, structured_outputs, tools, visionagents, chat, reasoning, structured_outputs, tools, vision

13 comparable fields · 5 material differences · Pair passes the primary-source comparison gate

Qwen3.7 Max Capabilities

agentschatgenerationreasoningstructured outputstoolsvision
Input price$1.475
Output price$4.425
Serving providers4
Canonical IDqwen/qwen3.7-max

Qwen3.8-Max Capabilities

agentschatreasoningstructured outputstoolsvision
Input price$1.65
Output price$4.951
Serving providers4
Canonical IDqwen/qwen3.8-max

Internal Comparison Graph

Related Comparisons

All image comparisons →
APairBContext
vsfamily variantsimage, text, video
vsfamily variantsimage, text, video
vsfamily variantsimage, text, video
vscross-developer peersimage, text, video
vsfamily variantsimage, text, video
vsfamily variantsimage, text, video
vscross-developer peersimage, text, video
vscross-developer peersimage, text, video
vscross-developer peersimage, text, video
vscross-developer peersimage, text, video
vscross-developer peersimage, text, video
vscross-developer peersimage, text, video

Primary Evidence

Sources and Freshness

Questions

Qwen3.7 Max vs Qwen3.8-Max FAQs

Is Qwen3.7 Max or Qwen3.8-Max better for coding?+

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

Which is cheaper, Qwen3.7 Max or Qwen3.8-Max?+

Qwen3.7 Max is $1.475 and Qwen3.8-Max is $1.65 per million tokens, so Qwen3.7 Max is cheaper on this metric. Qwen3.7 Max is $4.425 and Qwen3.8-Max is $4.951 per million tokens, so Qwen3.7 Max is cheaper on this metric.

Which has a larger context window, Qwen3.7 Max or Qwen3.8-Max?+

Neither model has a larger sourced context window in this comparison. Qwen3.7 Max is 1,000,000 and Qwen3.8-Max is 1,000,000.

Which performs better in benchmarks, Qwen3.7 Max or Qwen3.8-Max?+

Qwen3.8-Max leads the current overall benchmark count. The result uses 3 protocol-matched benchmarks from 3 publishers; it is not a universal quality score.

Can Qwen3.7 Max or Qwen3.8-Max be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Qwen3.7 Max is not marked open weight; Qwen3.8-Max is not marked open weight.

Can Qwen3.7 Max and Qwen3.8-Max understand images?+

Qwen3.7 Max is documented with image input; Qwen3.8-Max is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3.7 Max or Qwen3.8-Max?+

Qwen3.8-Max has the larger sourced maximum output: Qwen3.7 Max supports 65,536 and Qwen3.8-Max supports 131,072 output tokens.

Do Qwen3.7 Max and Qwen3.8-Max support reasoning and tool use?+

Qwen3.7 Max: reasoning, tool calling, and image input. Qwen3.8-Max: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3.7 Max or Qwen3.8-Max?+

Qwen3.7 Max has 4 sourced provider routes; Qwen3.8-Max has 4, a tie.

Which offers better value, Qwen3.7 Max or Qwen3.8-Max?+

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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