Qwen3 235B-A22B vs Muse Spark 1.1
Muse Spark 1.1 comes out ahead, 70 to 51 on our weighted score, though Qwen3 235B-A22B is 39% cheaper per token.
Alibaba (Qwen)Qwen3 235B-A22B
51/100- ECI139.4
- Price$0.70 / $2.80
- Context131K
- Our pick
MetaMuse Spark 1.1
70/100- ECI154.3
- Price$1.25 / $4.25
- Context1.05M
Add a model
Make it a three-way comparison.
Muse Spark 1.1 is our pick
Muse Spark 1.1 is the better all-round choice, scoring 70/100 against Qwen3 235B-A22B (51). It leads on capability, inputs & features and context window. Qwen3 235B-A22B wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityMuse Spark 1.1Capabilities Index (ECI): Muse Spark 1.1 154.3 · Qwen3 235B-A22B 139.4
- Lowest priceQwen3 235B-A22BQwen3 235B-A22B $1.23 · Muse Spark 1.1 $2.00 per 1M tokens (3:1 blend)
- Longest contextMuse Spark 1.1Muse Spark 1.1 1,048,576 · Qwen3 235B-A22B 131,072 tokens
- Widest inputsMuse Spark 1.1Qwen3 235B-A22B: Text · Muse Spark 1.1: Text, Images, PDFs, Video
- Self-hostingQwen3 235B-A22BPublishes downloadable weights
| Measure | Weight | Qwen3 235B-A22B | Muse Spark 1.1 |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 65 | 84 |
| Price | 25% | 46 | 36 |
| Inputs & features | 15% | 35 | 90 |
| Context window | 10% | 24 | 61 |
| Overall | 100% | 51/100 | 70/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Qwen3 235B-A22BAlibaba (Qwen) | Muse Spark 1.1Meta |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 139.4 | 154.3 (best) |
| ECI rank | #103 of 148 | #35 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 70.7% | — |
| SimpleQA VerifiedShort factual questions | — | 57.8% |
| Price per million tokens | ||
| Input | $0.70 (best) | $1.25 |
| Output | $2.80 (best) | $4.25 |
| Cached input | — | $0.15 |
| Blended (3:1) | $1.23 (best) | $2.00 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Alibaba API | Official Meta API |
| Limits | ||
| Context window | 131,072 tokens | 1,048,576 tokens (best) |
| Max output | 16,384 tokens | 131,072 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | Yes |
| Audio | No | No |
| Video | No | Yes |
| Reasoning | Yes | Yesminimal · low · medium · high · xhigh |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | qwen3-235b-a22b | muse-spark-1.1 |
| API providers | 7 | 13 (best) |
| Released | Apr 28, 2025 | Jul 9, 2026 |
| Knowledge cutoff | Apr 2025 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Qwen3 235B-A22B$12.60
- Muse Spark 1.1$21.00
Which should you choose?
Which is better: Qwen3 235B-A22B or Muse Spark 1.1?
Muse Spark 1.1 is the better all-round choice, scoring 70/100 against Qwen3 235B-A22B (51). It leads on capability, inputs & features and context window. Qwen3 235B-A22B wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Qwen3 235B-A22B or Muse Spark 1.1?
Qwen3 235B-A22B is cheaper at $0.70 input / $2.80 output per million tokens (official Alibaba API price). Muse Spark 1.1 costs $1.25 input / $4.25 output per million tokens (official Meta API price). At a typical mix of three input tokens to one output token, that is $1.23 per million tokens for Qwen3 235B-A22B versus $2.00 for Muse Spark 1.1 (1.6× as much).
Which scores higher on benchmarks?
Muse Spark 1.1 scores higher on the Capabilities Index (ECI): Muse Spark 1.1 154.3 (#35 of 148) and Qwen3 235B-A22B 139.4 (#103 of 148). Their confidence ranges do not overlap (152.2–157.1 vs 135.2–140.8), so the gap is a real one.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3 235B-A22B and Muse Spark 1.1 yet, so there is no like-for-like coding score. On overall capability, Muse Spark 1.1 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.
Which has the bigger context window?
Muse Spark 1.1 has the largest context window at 1,048,576 tokens, against 131,072 for Qwen3 235B-A22B. Maximum output per response: Qwen3 235B-A22B up to 16,384, Muse Spark 1.1 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Qwen3 235B-A22B accepts text; Muse Spark 1.1 accepts text, images, PDFs and video. Muse Spark 1.1 handles the widest range of inputs.
Are any of these open source?
Qwen3 235B-A22B publishes its weights and can be self-hosted; Muse Spark 1.1 is proprietary.
Which is newer?
Muse Spark 1.1 is the newest, released Jul 9, 2026. Qwen3 235B-A22B came out Apr 28, 2025. Knowledge cutoff: Qwen3 235B-A22B Apr 2025.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.
Related comparisons
- Add DeepSeek-R1Three-way comparison
- Qwen3 235B-A22B vs DeepSeek-R1DeepSeek · ECI 139.0
- Qwen3 235B-A22B vs Gemini 2.5 FlashGoogle · ECI 140.8
- Qwen3 235B-A22B vs GPT-4.1 miniOpenAI · ECI 135.0
- Qwen3 235B-A22B vs Mistral Medium 3Mistral AI · ECI 134.1
- Muse Spark 1.1 vs Gemini 3.6 FlashGoogle · ECI 154.3
- Muse Spark 1.1 vs Grok 4.5xAI · ECI 154.0
