AI model comparison
Muse Spark 1.1 vs Qwen3.7 Max
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks.
- Input / 1M
- $1.25
- Output / 1M
- $4.25
- Context
- 1.05M
Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series.
- Input / 1M
- $1.48
- Output / 1M
- $4.43
- Context
- 1M
Comparing image generators? Compare image models
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Muse Spark 1.1
1.1x cheaper for a typical chat
Higher intelligence score
Muse Spark 1.1
33.7 vs 29.5 on Artificial Analysis
Larger context window
Muse Spark 1.1
1.05M vs 1M tokens
Newer release
Muse Spark 1.1
Released July 16, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3.7 Max29.5Coding index
Qwen3.7 Max66Agentic index
Qwen3.7 Max22.5Pricing
Muse Spark 1.1 vs Qwen3.7 Max API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.7 Max | |
|---|---|---|
| Input tokensPer 1M tokens | $1.25 | $1.48 |
| Output tokensPer 1M tokens | $4.25 | $4.43 |
| Cached input (read)Per 1M tokens | $0.15 | $0.30 |
| Cache writePer 1M tokens | Not available | $1.84 |
| Web searchPer request | $0.0025 | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Qwen3.7 Max$5.16Coding task
30K in, 4K out
Qwen3.7 Max$61.95$26.55 cachedLong document summary
150K in, 2K out
Qwen3.7 Max$230.10$53.10 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3.7 Max | |
|---|---|---|
| Context window | 1.05M tokens | 1M tokens |
| Max output | 944K tokens | 131K tokens |
| Input types | File, Image, Text, Video | Text |
| Output types | Text | Text |
| Reasoning effort levels | Extra high, High, Medium, Low, Minimal | Not available |
| Default reasoning effort | Medium | Not available |
| Release date | July 16, 2026 | May 21, 2026 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.7 Max | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Not supported | Supported |
| Deterministic seed | Not supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
Qwen3.7 MaxView full model details- Qwen3.7 Max vs GLM 5.2
- Qwen3.7 Max vs Qwen3.8 27B
- Qwen3.7 Max vs GPT-5.2
- Qwen3.7 Max vs Claude Sonnet 4.6
- Qwen3.7 Max vs Gemini 3.1 Pro Preview
- Qwen3.7 Max vs MiniMax M3
- Qwen3.7 Max vs Claude Opus 4.5
- Qwen3.7 Max vs GLM 5
- Qwen3.7 Max vs Kimi K2.6
- Qwen3.7 Max vs Qwen3.6 Plus
- Qwen3.7 Max vs GLM 5 Turbo
- Qwen3.7 Max vs Gemini 3 Flash Preview
Our take
Muse Spark 1.1 is 1.1x cheaper for a typical chat. Muse Spark 1.1 scores higher on the Artificial Analysis Intelligence Index (33.7 vs 29.5). Muse Spark 1.1 has the larger context window (1.05M vs 1M tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Muse Spark 1.1 or Qwen3.7 Max cheaper?
Muse Spark 1.1 is cheaper for a typical chat (2K input tokens and 500 output tokens). Muse Spark 1.1 costs $1.25 per 1M input tokens and $4.25 per 1M output tokens, while Qwen3.7 Max costs $1.48 per 1M input tokens and $4.43 per 1M output tokens.
Which has a bigger context window, Muse Spark 1.1 or Qwen3.7 Max?
Muse Spark 1.1 supports up to 1.05M tokens of context, compared with 1M for Qwen3.7 Max.
Is Muse Spark 1.1 smarter than Qwen3.7 Max?
On the Artificial Analysis Intelligence Index, Muse Spark 1.1 scores 33.7 and Qwen3.7 Max scores 29.5, putting Muse Spark 1.1 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Muse Spark 1.1 and Qwen3.7 Max at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Muse Spark 1.1 and Qwen3.7 Max answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Muse Spark 1.1 and Qwen3.7 Max at the same time. Compare the answers side by side and keep the best one.