Gemini 3.5 Flash vs Muse Spark 1.1 vs Qwen3.7 Max
Too close to call on our weighted score (Muse Spark 1.1 70, Gemini 3.5 Flash 69, Qwen3.7 Max 58). The right pick depends on what you value most.
Google
Gemini 3.5 Flash
69/100- ECI154.5
- Price$1.50 / $9.00
- Context1.05M
Meta
Muse Spark 1.1
70/100- ECI154.3
- Price$1.25 / $4.25
- Context1.05M
Alibaba (Qwen)
Qwen3.7 Max
58/100- ECI153.7
- Price$2.50 / $7.50
- Context1M
Too close to call
It is close. Our weighted score puts them within 1 points (Muse Spark 1.1 70/100, Gemini 3.5 Flash 69/100, Qwen3.7 Max 58/100), so choose by what matters most for your work: Gemini 3.5 Flash for raw capability and Muse Spark 1.1 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGemini 3.5 FlashCapabilities Index (ECI): Gemini 3.5 Flash 154.5 · Muse Spark 1.1 154.3 · Qwen3.7 Max 153.7
- Lowest priceMuse Spark 1.1Muse Spark 1.1 $2.00 · Gemini 3.5 Flash $3.38 · Qwen3.7 Max $3.75 per 1M tokens (3:1 blend)
- Longest contextGemini 3.5 Flash and Muse Spark 1.1Gemini 3.5 Flash 1,048,576 · Muse Spark 1.1 1,048,576 · Qwen3.7 Max 1,000,000 tokens
- Widest inputsGemini 3.5 FlashGemini 3.5 Flash: Text, Images, PDFs, Audio, Video · Muse Spark 1.1: Text, Images, PDFs, Video · Qwen3.7 Max: Text
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Gemini 3.5 Flash | Muse Spark 1.1 | Qwen3.7 Max |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 84 | 84 | 83 |
| Price | 25% | 25 | 36 | 23 |
| Inputs & features | 15% | 100 | 90 | 35 |
| Context window | 10% | 61 | 61 | 60 |
| Overall | 100% | 69/100 | 70/100 | 58/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 154.5 (best) | 154.3 | 153.7 |
| ECI rank | #33 of 148 (best) | #35 of 148 | #37 of 148 |
| GPQA DiamondGraduate-level science questions | 92.8% (best) | — | 90.9% |
| FrontierMath Tiers 1–3Research-level mathematics | 62.8% | — | 64.6% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 95.6% | — | 95.6% |
| SWE-bench VerifiedFixing real GitHub issues | 79.3% (best) | — | 77.3% |
| SimpleQA VerifiedShort factual questions | 66.2% (best) | 57.8% | 55.8% |
| Price per million tokens | |||
| Input | $1.50 | $1.25 (best) | $2.50 |
| Output | $9.00 | $4.25 (best) | $7.50 |
| Cached input | $0.15 (best) | $0.15 (best) | $0.50 |
| Blended (3:1) | $3.38 | $2.00 (best) | $3.75 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Google API | Official Meta API | Official Alibaba API |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 1,048,576 tokens (best) | 1,000,000 tokens |
| Max output | 65,536 tokens | 131,072 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | Yes | Yes | No |
| Audio | Yes | No | No |
| Video | Yes | Yes | No |
| Reasoning | Yesminimal · low · medium · high | Yesminimal · low · medium · high · xhigh | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | gemini-3.5-flash | muse-spark-1.1 | qwen3.7-max |
| API providers | 32 (best) | 13 | 26 |
| Released | May 19, 2026 | Jul 9, 2026 | May 21, 2026 |
| Knowledge cutoff | Jan 2025 | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Gemini 3.5 Flash$33.00
Muse Spark 1.1$21.00
Qwen3.7 Max$40.00
Which should you choose?
Which is better: Gemini 3.5 Flash, Muse Spark 1.1 or Qwen3.7 Max?
It is close. Our weighted score puts them within 1 points (Muse Spark 1.1 70/100, Gemini 3.5 Flash 69/100, Qwen3.7 Max 58/100), so choose by what matters most for your work: Gemini 3.5 Flash for raw capability and Muse Spark 1.1 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Gemini 3.5 Flash, Muse Spark 1.1 or Qwen3.7 Max?
Muse Spark 1.1 is cheaper at $1.25 input / $4.25 output per million tokens (official Meta API price). Gemini 3.5 Flash costs $1.50 input / $9.00 output per million tokens (official Google API price); Qwen3.7 Max costs $2.50 input / $7.50 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $2.00 per million tokens for Muse Spark 1.1 versus $3.38 for Gemini 3.5 Flash (1.7× as much) and $3.75 for Qwen3.7 Max (1.9× as much).
Which scores higher on benchmarks?
Gemini 3.5 Flash scores higher on the Capabilities Index (ECI): Gemini 3.5 Flash 154.5 (#33 of 148), Muse Spark 1.1 154.3 (#35 of 148) and Qwen3.7 Max 153.7 (#37 of 148). The confidence ranges of the top two overlap (152.5–156.6 vs 152.2–157.1), so treat the gap as small. On individual benchmarks: SimpleQA Verified — Gemini 3.5 Flash 66.2%, Muse Spark 1.1 57.8%, Qwen3.7 Max 55.8%.
Which is better for coding?
There are no published SWE-bench Verified results for Muse Spark 1.1 yet, so there is no like-for-like coding score. On overall capability, Gemini 3.5 Flash leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.
Which has the bigger context window?
Gemini 3.5 Flash and Muse Spark 1.1 have the largest context windows (1,048,576 and 1,048,576 tokens), against 1,000,000 for Qwen3.7 Max. Maximum output per response: Gemini 3.5 Flash up to 65,536, Muse Spark 1.1 up to 131,072, Qwen3.7 Max up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Gemini 3.5 Flash accepts text, images, PDFs, audio and video; Muse Spark 1.1 accepts text, images, PDFs and video; Qwen3.7 Max accepts text. Gemini 3.5 Flash handles the widest range of inputs.
Are any of these open source?
No. Gemini 3.5 Flash, Muse Spark 1.1 and Qwen3.7 Max are proprietary and only available through APIs and apps.
Which is newer?
Muse Spark 1.1 is the newest, released Jul 9, 2026. Qwen3.7 Max came out May 21, 2026; Gemini 3.5 Flash came out May 19, 2026. Knowledge cutoff: Gemini 3.5 Flash Jan 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.