Gemini 3.6 Flash vs Muse Glimmer 30B vs Muse Spark 1.1
Gemini 3.6 Flash comes out ahead, 63 to 57 and 57 on our weighted score, though Muse Glimmer 30B is 2.9× cheaper per token.
- Our pick
Google
Gemini 3.6 Flash
63/100- ECI154.3
- Price$0.75 / $3.75
- Context1.05M
Meta
Muse Glimmer 30B
57/100- ECI—
- Price$0.30 / $1.20
- Context131K
Meta
Muse Spark 1.1
57/100- ECI154.3
- Price$1.25 / $4.25
- Context1.05M
Gemini 3.6 Flash is our pick
Gemini 3.6 Flash is the better all-round choice, scoring 63/100 against Muse Glimmer 30B (57) and Muse Spark 1.1 (57). It leads on inputs & features. Muse Glimmer 30B wins on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceMuse Glimmer 30BMuse Glimmer 30B $0.525 · Gemini 3.6 Flash $1.50 · Muse Spark 1.1 $2.00 per 1M tokens (3:1 blend)
- Longest contextGemini 3.6 Flash and Muse Spark 1.1Gemini 3.6 Flash 1,048,576 · Muse Spark 1.1 1,048,576 · Muse Glimmer 30B 131,072 tokens
- Widest inputsGemini 3.6 FlashGemini 3.6 Flash: Text, Images, PDFs, Audio, Video · Muse Glimmer 30B: Text, Images · Muse Spark 1.1: Text, Images, PDFs, Video
- Self-hostingMuse Glimmer 30BPublishes downloadable weights (Apache 2.0)
| Measure | Weight | Gemini 3.6 Flash | Muse Glimmer 30B | Muse Spark 1.1 |
|---|---|---|---|---|
| Price | 50% | 42 | 63 | 36 |
| Inputs & features | 30% | 100 | 70 | 90 |
| Context window | 20% | 61 | 24 | 61 |
| Overall | 100% | 63/100 | 57/100 | 57/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 154.3 (best) | — | 154.3 |
| ECI rank | #34 of 148 (best) | — | #35 of 148 |
| GPQA DiamondGraduate-level science questions | 94.1% | — | — |
| FrontierMath Tiers 1–3Research-level mathematics | 59.0% | — | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 94.2% | — | — |
| SimpleQA VerifiedShort factual questions | 66.2% (best) | — | 57.8% |
| Price per million tokens | |||
| Input | $0.75 | $0.30 (best) | $1.25 |
| Output | $3.75 | $1.20 (best) | $4.25 |
| Cached input | $0.075 (best) | — | $0.15 |
| Blended (3:1) | $1.50 | $0.525 (best) | $2.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Google API | Median of 10 providers | Official Meta API |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 131,072 tokens | 1,048,576 tokens (best) |
| Max output | 65,536 tokens | 131,072 tokens (best) | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | No | Yes |
| Audio | Yes | No | No |
| Video | Yes | No | Yes |
| Reasoning | Yesminimal · low · medium · high | Yes | Yesminimal · low · medium · high · xhigh |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | OpenApache 2.0 | Proprietary |
| API model ID | gemini-3.6-flash | — | muse-spark-1.1 |
| API providers | 25 (best) | 12 | 13 |
| Released | Jul 21, 2026 | Aug 10, 2026 | Jul 9, 2026 |
| Knowledge cutoff | Mar 2026 | Jan 4, 2026 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Gemini 3.6 Flash$15.00
Muse Glimmer 30B$5.40
Muse Spark 1.1$21.00
Which should you choose?
Which is better: Gemini 3.6 Flash, Muse Glimmer 30B or Muse Spark 1.1?
Gemini 3.6 Flash is the better all-round choice, scoring 63/100 against Muse Glimmer 30B (57) and Muse Spark 1.1 (57). It leads on inputs & features. Muse Glimmer 30B wins on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Gemini 3.6 Flash, Muse Glimmer 30B or Muse Spark 1.1?
Muse Glimmer 30B is cheaper at $0.30 input / $1.20 output per million tokens (median across 10 API providers). Gemini 3.6 Flash costs $0.75 input / $3.75 output per million tokens (official Google 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 $0.525 per million tokens for Muse Glimmer 30B versus $1.50 for Gemini 3.6 Flash (2.9× as much) and $2.00 for Muse Spark 1.1 (3.8× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Gemini 3.6 Flash has an ECI of 154.3, Muse Glimmer 30B has not been scored yet and Muse Spark 1.1 has an ECI of 154.3.
Which is better for coding?
There are no published SWE-bench Verified results for Gemini 3.6 Flash, Muse Glimmer 30B and Muse Spark 1.1 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Gemini 3.6 Flash and Muse Spark 1.1 have the largest context windows (1,048,576 and 1,048,576 tokens), against 131,072 for Muse Glimmer 30B. Maximum output per response: Gemini 3.6 Flash up to 65,536, Muse Glimmer 30B up to 131,072, Muse Spark 1.1 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Gemini 3.6 Flash accepts text, images, PDFs, audio and video; Muse Glimmer 30B accepts text and images; Muse Spark 1.1 accepts text, images, PDFs and video. Gemini 3.6 Flash handles the widest range of inputs.
Are any of these open source?
Muse Glimmer 30B publishes its weights (Apache 2.0) and can be self-hosted; Gemini 3.6 Flash and Muse Spark 1.1 is proprietary.
Which is newer?
Muse Glimmer 30B is the newest, released Aug 10, 2026. Gemini 3.6 Flash came out Jul 21, 2026; Muse Spark 1.1 came out Jul 9, 2026. Knowledge cutoff: Gemini 3.6 Flash Mar 2026, Muse Glimmer 30B Jan 4, 2026.
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.