Compare / Qwen3.7-Max vs Muse Spark 1.1
Qwen3.7-Max vs Muse Spark 1.1
Which is cheaper, which is more capable, and which does better at each kind of work, from 14 results on 3 sources that measured both models.
Of the 14 results both models have, the better value on each. Results whose reported ranges overlap are too close to call.
Results as of 9 October 2026 (catalogue release 2026-10-09-dd620e778ac5). See also Alibaba vs Meta, every model from both labs.
Qwen3.7-Max or Muse Spark 1.1? The short answer
Pick Muse Spark 1.1: it scores higher (Intelligence Index 33.7 against 29.5) at about the same price.
- They cost about the same: $2.21 and $2.00 per million tokens (three input to one output).
- Muse Spark 1.1 scores higher on the Artificial Analysis Intelligence Index: 33.7 against 29.5.
- Muse Spark 1.1 is newer: released 9 Jul 2026, against 19 May 2026 for Qwen3.7-Max.
- On third-party benchmarks, on the results both models have: Muse Spark 1.1 does better for agents and tool use, reasoning and knowledge and sticking to the facts.
Head to head
Every fact side by side
| Qwen3.7-Max | Muse Spark 1.1 | |
|---|---|---|
| Price per million tokens | $1.48 in · $4.42 out | $1.25 in · $4.25 out |
| Blended (3 in : 1 out) | $2.21 | $2.00 |
| Cheapest host, blended | – | – |
| Intelligence Index | 29.5 | 33.7 |
| Spring Prompt overall | – | – |
| Output speed, tokens a second | – | – |
| Context window | 1,000,000 tokens | 1,048,576 tokens |
| Released | 19 May 2026 | 9 Jul 2026 (newer) |
| Weights | Closed | Closed |
| Developer based in | China | the US |
Prices are the developer's list price where we have read it, otherwise the typical host on OpenRouter; see every model's price. Intelligence and speed from Artificial Analysis.
Which is better for what
Each model's rank among the models on sale today, for each kind of work, from our own benchmarks and licensed sources. Further right is better; the better rank is in green.
Every shared result
Each model's best result on every measure both have, grouped by benchmark, with the setting that produced it. Under each measure, every model that benchmark has measured is a grey tick, best to the right, so you can see where the two sit in the field. The headline measures of each benchmark come first; the rest are under "Show all". Green marks the better value; where a source reports ranges that overlap, neither is marked.
| Measure | Qwen3.7-Max | Muse Spark 1.1 |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 3 results | ||
| Confirmed task success · AgentIPS effect estimate, higher is better 39 · 36 of 48 measured | -0.09arena agent | -0.04arena agent |
| Praise over complaint · AgentIPS effect estimate, higher is better 39 · 41 of 48 measured | -0.09arena agent | -0.12arena agent |
| Steerability · AgentIPS effect estimate, higher is better 41 · 40 of 48 measured | -0.06arena agent | -0.06arena agent |
| Artificial Analysis reported by Artificial Analysis · 3 results | ||
| Artificial Analysis Intelligence Indexindex score, higher is better 53 · 42 of 243 measured | 29.5 | 33.7xhigh reasoning |
| GPQA Diamond% of questions, higher is better 21 · 44 of 231 measured | 92.3% | 89.8%xhigh reasoning |
| Humanity's Last Exam% of questions, higher is better 39 · 18 of 242 measured | 40.5% | 46.2%xhigh reasoning |
| SimpleQA Verified (Epoch AI) reported by SimpleQA Verified (Epoch AI) · 1 result | ||
| Correct answers% of questions, higher is better 18 · 17 of 76 measured | 55.8% | 57.8% |
Show all 14 results (7 more)
| Measure | Qwen3.7-Max | Muse Spark 1.1 |
|---|---|---|
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 1 result | ||
| Tool grounding · AgentIPS effect estimate, higher is better 34 · 37 of 48 measured | 0.00arena agent | -0.00arena agent |
| Artificial Analysis reported by Artificial Analysis · 6 results | ||
| Terminal-Bench 2.1% of tasks, higher is better 33 · 30 of 130 measured | 74.5% | 77.9%xhigh reasoning |
| Terminal-Bench 4.0% of tasks, higher is better 51 · 43 of 112 measured | 1.5% | 6.1%xhigh reasoning |
| τ-bench banking% of tasks, higher is better 71 · 32 of 121 measured | 11.8% | 31.8%xhigh reasoning |
| Artificial Analysis Coding Indexindex score, higher is better 34 · 25 of 131 measured | 66.0 | 71.3xhigh reasoning |
| Long-context reasoning (AA-LCR)% of questions, higher is better 50 · 63 of 233 measured | 79.0% | 77.7%xhigh reasoning |
| SciCode% of problems, higher is better 52 · 11 of 113 measured | 49.5% | 58.8%xhigh reasoning |
Compare them with other models
Quick answers
Is Qwen3.7-Max better than Muse Spark 1.1?
Pick Muse Spark 1.1: it scores higher (Intelligence Index 33.7 against 29.5) at about the same price.
Which is cheaper, Qwen3.7-Max or Muse Spark 1.1?
They cost about the same: $2.21 and $2.00 per million tokens (three input to one output).
Which is better for agents and tool use, Qwen3.7-Max or Muse Spark 1.1?
Muse Spark 1.1 ranks 42 of 164 models on sale for multi-step tasks with tools: support desks, coding agents, function calls, against 69 for Qwen3.7-Max.
Which is better for reasoning and knowledge, Qwen3.7-Max or Muse Spark 1.1?
Muse Spark 1.1 ranks 36 of 198 models on sale for hard questions across science, maths and general knowledge, against 39 for Qwen3.7-Max.
Which is better for sticking to the facts, Qwen3.7-Max or Muse Spark 1.1?
Qwen3.7-Max ranks 31 of 152 models on sale for summarising without inventing things, and factual answers, against 32 for Muse Spark 1.1.
Which has the bigger context window, Qwen3.7-Max or Muse Spark 1.1?
Muse Spark 1.1: 1,048,576 tokens, against 1,000,000 for Qwen3.7-Max.
Run Qwen3.7-Max and Muse Spark 1.1 on your own prompt
Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.