Muse Spark 1.1 vs DeepSeek V4.1 Flash vs Gemini 3.6 Flash
DeepSeek V4.1 Flash comes out ahead, 78 to 73 and 70 on our weighted score, and it is the cheaper option too.
MetaMuse Spark 1.1
70/100- ECI154.3
- Price$1.25 / $4.25
- Context1.05M
- Our pick
DeepSeekDeepSeek V4.1 Flash
78/100- ECI155.0
- Price$0.15 / $0.60
- Context1M
GoogleGemini 3.6 Flash
73/100- ECI154.3
- Price$0.75 / $3.75
- Context1.05M
DeepSeek V4.1 Flash is our pick
DeepSeek V4.1 Flash is the better all-round choice, scoring 78/100 against Gemini 3.6 Flash (73) and Muse Spark 1.1 (70). It leads on price. Gemini 3.6 Flash wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityDeepSeek V4.1 FlashCapabilities Index (ECI): DeepSeek V4.1 Flash 155.0 · Gemini 3.6 Flash 154.3 · Muse Spark 1.1 154.3
- Lowest priceDeepSeek V4.1 FlashDeepSeek V4.1 Flash $0.263 · Gemini 3.6 Flash $1.50 · Muse Spark 1.1 $2.00 per 1M tokens (3:1 blend)
- Longest contextMuse Spark 1.1 and Gemini 3.6 FlashMuse Spark 1.1 1,048,576 · Gemini 3.6 Flash 1,048,576 · DeepSeek V4.1 Flash 1,000,000 tokens
- Widest inputsGemini 3.6 FlashMuse Spark 1.1: Text, Images, PDFs, Video · DeepSeek V4.1 Flash: Text, Images · Gemini 3.6 Flash: Text, Images, PDFs, Audio, Video
- Self-hostingDeepSeek V4.1 FlashPublishes downloadable weights (MIT)
| Measure | Weight | Muse Spark 1.1 | DeepSeek V4.1 Flash | Gemini 3.6 Flash |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 84 | 84 | 84 |
| Price | 25% | 36 | 77 | 42 |
| Inputs & features | 15% | 90 | 70 | 100 |
| Context window | 10% | 61 | 60 | 61 |
| Overall | 100% | 70/100 | 78/100 | 73/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Muse Spark 1.1Meta | DeepSeek V4.1 FlashDeepSeek | Gemini 3.6 FlashGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 154.3 | 155.0 (best) | 154.3 |
| ECI rank | #35 of 148 | #29 of 148 (best) | #34 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 | 57.8% | — | 66.2% (best) |
| Price per million tokens | |||
| Input | $1.25 | $0.15 (best) | $0.75 |
| Output | $4.25 | $0.60 (best) | $3.75 |
| Cached input | $0.15 | $0.003 (best) | $0.075 |
| Blended (3:1) | $2.00 | $0.263 (best) | $1.50 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Meta API | Official DeepSeek API | Official Google API |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 1,000,000 tokens | 1,048,576 tokens (best) |
| Max output | 131,072 tokens | 384,000 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | No | Yes |
| Audio | No | No | Yes |
| Video | Yes | No | Yes |
| Reasoning | Yesminimal · low · medium · high · xhigh | Yeslow · high · max | Yesminimal · low · medium · high |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | OpenMIT | Proprietary |
| API model ID | muse-spark-1.1 | deepseek-flash | gemini-3.6-flash |
| API providers | 13 | 50 (best) | 25 |
| Released | Jul 9, 2026 | Sep 10, 2026 | Jul 21, 2026 |
| Knowledge cutoff | — | May 2025 | Mar 2026 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Muse Spark 1.1$21.00
- DeepSeek V4.1 Flash$2.70
- Gemini 3.6 Flash$15.00
Which should you choose?
Which is better: Muse Spark 1.1, DeepSeek V4.1 Flash or Gemini 3.6 Flash?
DeepSeek V4.1 Flash is the better all-round choice, scoring 78/100 against Gemini 3.6 Flash (73) and Muse Spark 1.1 (70). It leads on price. Gemini 3.6 Flash wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Muse Spark 1.1, DeepSeek V4.1 Flash or Gemini 3.6 Flash?
DeepSeek V4.1 Flash is cheaper at $0.15 input / $0.60 output per million tokens (official DeepSeek API price). 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 $0.263 per million tokens for DeepSeek V4.1 Flash versus $1.50 for Gemini 3.6 Flash (5.7× as much) and $2.00 for Muse Spark 1.1 (7.6× as much).
Which scores higher on benchmarks?
DeepSeek V4.1 Flash scores higher on the Capabilities Index (ECI): DeepSeek V4.1 Flash 155.0 (#29 of 148), Gemini 3.6 Flash 154.3 (#34 of 148) and Muse Spark 1.1 154.3 (#35 of 148). The confidence ranges of the top two overlap (148.8–157.6 vs 152.6–156.3), so treat the gap as small.
Which is better for coding?
There are no published SWE-bench Verified results for Muse Spark 1.1, DeepSeek V4.1 Flash and Gemini 3.6 Flash yet, so there is no like-for-like coding score. On overall capability, DeepSeek V4.1 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?
Muse Spark 1.1 and Gemini 3.6 Flash have the largest context windows (1,048,576 and 1,048,576 tokens), against 1,000,000 for DeepSeek V4.1 Flash. Maximum output per response: Muse Spark 1.1 up to 131,072, DeepSeek V4.1 Flash up to 384,000, Gemini 3.6 Flash up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Muse Spark 1.1 accepts text, images, PDFs and video; DeepSeek V4.1 Flash accepts text and images; Gemini 3.6 Flash accepts text, images, PDFs, audio and video. Gemini 3.6 Flash handles the widest range of inputs.
Are any of these open source?
DeepSeek V4.1 Flash publishes its weights (MIT) and can be self-hosted; Muse Spark 1.1 and Gemini 3.6 Flash is proprietary.
Which is newer?
DeepSeek V4.1 Flash is the newest, released Sep 10, 2026. Gemini 3.6 Flash came out Jul 21, 2026; Muse Spark 1.1 came out Jul 9, 2026. Knowledge cutoff: DeepSeek V4.1 Flash May 2025, Gemini 3.6 Flash Mar 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.
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