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Muse Spark 1.2 vs Qwen3.7-Plus

Muse Spark 1.2 and Qwen3.7-Plus are closely matched at 41.1 and 43.3 on the LLM Stats Score. Muse Spark 1.2 is 4.5x cheaper per token.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Muse Spark 1.2 and Qwen3.7-Plus are closely matched on the overall LLM Stats Score at 41.1 and 43.3.

On price, Muse Spark 1.2 is roughly 4.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Muse Spark 1.2 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Muse Spark 1.2

  • your work emphasizes agents — it leads those capability indexes
  • cost matters — it's about 4.5x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Aug 2026

Choose Qwen3.7-Plus

  • you want predictable pricing at $0.32/M input and $1.28/M output

At a glance

The differences that matter most.

Core performance indexes
41.1
#44
43.3
#36
34.4
#80
43.6
#33
33.3
#35
32.5
#41
29.3
#31
26.1
#39
Cost, coverage & limits
Benchmark wins
Input price
$0.10 / M
$0.32 / M
Output price
$0.20 / M
$1.28 / M
Context window
1,048,576
1,000,000

Individual benchmarks

3 reported for Muse Spark 1.2 · 70 for Qwen3.7-Plus

No common benchmarks found

Muse Spark 1.2 and Qwen3.7-Plusdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Muse Spark 1.2 costs less

For input processing, Muse Spark 1.2 ($0.10/1M tokens) is 3.2x cheaper than Qwen3.7-Plus ($0.32/1M tokens).

For output processing, Muse Spark 1.2 ($0.20/1M tokens) is 6.4x cheaper than Qwen3.7-Plus ($1.28/1M tokens).

In conclusion, Qwen3.7-Plus is more expensive than Muse Spark 1.2.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Aug 28 2026 • llm-stats.com
Meta
Muse Spark 1.2
Input tokens$0.10
Output tokens$0.20
Best providerMeta
Alibaba Cloud / Qwen Team
Qwen3.7-Plus
Input tokens$0.32
Output tokens$1.28
Best providerTogether
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Muse Spark 1.2 accepts 1,048,576 input tokens compared to Qwen3.7-Plus's 1,000,000 tokens. Muse Spark 1.2 can generate longer responses up to 131,072 tokens, while Qwen3.7-Plus is limited to 65,536 tokens.

Meta
Muse Spark 1.2
Input1,048,576 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen3.7-Plus
Input1,000,000 tokens
Output65,536 tokens
Fri Aug 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Muse Spark 1.2 and Qwen3.7-Plus support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Muse Spark 1.2

Text
Images
Audio
Video

Qwen3.7-Plus

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Muse Spark 1.2

Proprietary

Closed source

Qwen3.7-Plus

Proprietary

Closed source

Release Timeline

When each model was launched

Muse Spark 1.2 was released on 2026-08-05, while Qwen3.7-Plus was released on 2026-05-31.

Muse Spark 1.2 is 2 months newer than Qwen3.7-Plus.

Muse Spark 1.2

Aug 5, 2026

3 weeks ago

2mo newer
Qwen3.7-Plus

May 31, 2026

2 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Muse Spark 1.2 is available from Meta Model API. Qwen3.7-Plus is available from Together, Fireworks.

Muse Spark 1.2

meta logo
Meta
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M

Qwen3.7-Plus

together logo
Together
Input Price:Input: $0.32/1MOutput Price:Output: $1.28/1M
fireworks logo
Fireworks
Input Price:Input: $0.40/1MOutput Price:Output: $1.60/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Muse Spark 1.2 and Qwen3.7-Plus side-by-side, then vote on the output you prefer.

Muse Spark 1.2
✓ Preferred
Qwen3.7-Plus
Open in Playground

FAQ

Common questions about Muse Spark 1.2 vs Qwen3.7-Plus.

Which is better, Muse Spark 1.2 or Qwen3.7-Plus?

Muse Spark 1.2 and Qwen3.7-Plus are closely matched on the LLM Stats Score at 41.1 and 43.3. Muse Spark 1.2 is made by Meta and Qwen3.7-Plus is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Muse Spark 1.2 compare to Qwen3.7-Plus in benchmarks?

Muse Spark 1.2 scores Terminal-Bench 2.1: 82.9%, Meta Internal Coding Bench: 70.6%, DeepSWE 1.1: 59.3%. Qwen3.7-Plus scores IFEval: 94.6%, MMLU-Redux: 94.5%, HMMT Feb 26: 92.9%, MRCR v2: 91.7%, OmniDocBench 1.5: 91.4%.

Is Muse Spark 1.2 cheaper than Qwen3.7-Plus?

Muse Spark 1.2 is 3.2x cheaper for input tokens. Muse Spark 1.2 costs $0.10/M input and $0.20/M output via meta. Qwen3.7-Plus costs $0.32/M input and $1.28/M output via together.

What are the context window sizes for Muse Spark 1.2 and Qwen3.7-Plus?

Muse Spark 1.2 supports 1.0M tokens and Qwen3.7-Plus supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Muse Spark 1.2 and Qwen3.7-Plus?

Key differences include LLM Stats Score (41.1 vs 43.3), context window (1.0M vs 1.0M), input pricing ($0.10 vs $0.32/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Spark 1.2 and Qwen3.7-Plus?

Muse Spark 1.2 is developed by Meta and Qwen3.7-Plus is developed by Alibaba Cloud / Qwen Team.