Muse Spark 1.2 vs Qwen3.7 Max

Benchmark Performance

Available Benchmarks

BenchmarkMuse Spark 1.2Qwen3.7 Max
LMArena Agent Arenaagent-2026-08-31-011508720696 · outcome_score · leader0.97100% of row best · score · Muse Spark 1.2 (xHigh); 95% CI [-0.15615379, 2.09143176]; sessions 18416; observations 735300; rank 29-1.3698% of row best · score · Qwen3.7 Max; 95% CI [-2.27613811, -0.44192410]; sessions 35069; observations 1551158; rank 35
LiveBench2026-06-25 · overall · leader81.88100% of row best · percent · muse-spark-1.2-xhigh · 18,700 output tokens / case77.5095% of row best · percent · qwen3.7-max · 12,909 output tokens / case
Overall ResultCounted from the protocol-matched rows above2 benchmark winsOverall lead0 benchmark wins

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
Meta · previewMuse Spark 1.2Verified Sep 3, 2026
Qwen · activeQwen3.7 MaxVerified Sep 3, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldMuse Spark 1.2Qwen3.7 Max
DeveloperMetaQwen
FamilyMuse SparkQwen3 7
ModelMuse Spark 1.2Qwen3.7 Max
VersionMuse Spark 1.2Qwen3.7 Max
Lifecyclepreviewactive
Released2026-08-052026-05-20
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, AudioText, Image, Video
Output modalitiesTextText
Context windowUnknown1,000,000
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessUnknownAlibaba Cloud Model Studio (Standard), Deepinfra (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, computer-use, generation, reasoning, research, structured_outputs, toolsagents, chat, generation, reasoning, structured_outputs, tools, vision

12 comparable fields · 8 material differences · Pair passes the primary-source comparison gate

Muse Spark 1.2 Capabilities

chatcomputer-usegenerationreasoningresearchstructured outputstools
Input price
Output price
Serving providers0
Canonical IDmeta-llama/muse-spark-1.2

Qwen3.7 Max Capabilities

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

Internal Comparison Graph

Related Comparisons

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

Primary Evidence

Sources and Freshness

Questions

Muse Spark 1.2 vs Qwen3.7 Max FAQs

Is Muse Spark 1.2 or Qwen3.7 Max better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Muse Spark 1.2 and Qwen3.7 Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Muse Spark 1.2 or Qwen3.7 Max?+

Only Qwen3.7 Max has a directly sourced input price: $1.475 per million tokens. Only Qwen3.7 Max has a directly sourced output price: $4.425 per million tokens.

Which has a larger context window, Muse Spark 1.2 or Qwen3.7 Max?+

Neither model has a larger sourced context window in this comparison. Muse Spark 1.2 is — and Qwen3.7 Max is 1,000,000.

Which performs better in benchmarks, Muse Spark 1.2 or Qwen3.7 Max?+

Muse Spark 1.2 leads the current overall benchmark count. The result uses 2 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.

Can Muse Spark 1.2 or Qwen3.7 Max be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Muse Spark 1.2 is not marked open weight; Qwen3.7 Max is not marked open weight.

Can Muse Spark 1.2 and Qwen3.7 Max understand images?+

Muse Spark 1.2 is documented with image input; Qwen3.7 Max is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Muse Spark 1.2 or Qwen3.7 Max?+

Neither has a larger sourced maximum output. Muse Spark 1.2 is — and Qwen3.7 Max is 65,536.

Do Muse Spark 1.2 and Qwen3.7 Max support reasoning and tool use?+

Muse Spark 1.2: reasoning, tool calling, and image input. Qwen3.7 Max: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Muse Spark 1.2 or Qwen3.7 Max?+

Muse Spark 1.2 has 0 sourced provider routes; Qwen3.7 Max has 4, so Qwen3.7 Max has broader tracked availability.

Which offers better value, Muse Spark 1.2 or Qwen3.7 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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Muse Spark 1.2 vs Qwen3.7 Max: AI Model Comparison · Model Markets