Muse Spark 1.3 vs DeepSeek V4.1 Flash 1017 vs Gemini 3.8 Flash
DeepSeek V4.1 Flash 1017 comes out ahead, 79 to 74 and 72 on our weighted score, and it is the cheaper option too.
MetaMuse Spark 1.3
72/100- ECI157.4
- Price$1.25 / $4.25
- Context1.05M
- Our pick
DeepSeekDeepSeek V4.1 Flash 1017
79/100- ECI158.8
- Price$0.15 / $0.60
- Context1M
GoogleGemini 3.8 Flash
74/100- ECI157.6
- Price$0.75 / $3.75
- Context1.05M
DeepSeek V4.1 Flash 1017 is our pick
DeepSeek V4.1 Flash 1017 is the better all-round choice, scoring 79/100 against Gemini 3.8 Flash (74) and Muse Spark 1.3 (72). It leads on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityDeepSeek V4.1 Flash 1017Capabilities Index (ECI): DeepSeek V4.1 Flash 1017 158.8 · Gemini 3.8 Flash 157.6 · Muse Spark 1.3 157.4
- Lowest priceDeepSeek V4.1 Flash 1017DeepSeek V4.1 Flash 1017 $0.263 · Gemini 3.8 Flash $1.50 · Muse Spark 1.3 $2.00 per 1M tokens (3:1 blend)
- Longest contextMuse Spark 1.3 and Gemini 3.8 FlashMuse Spark 1.3 1,048,576 · Gemini 3.8 Flash 1,048,576 · DeepSeek V4.1 Flash 1017 1,000,000 tokens
- Widest inputsMuse Spark 1.3 and Gemini 3.8 FlashMuse Spark 1.3: Text, Images, PDFs, Audio, Video · DeepSeek V4.1 Flash 1017: Text, Images · Gemini 3.8 Flash: Text, Images, PDFs, Audio, Video
- Self-hostingDeepSeek V4.1 Flash 1017Publishes downloadable weights (MIT)
| Measure | Weight | Muse Spark 1.3 | DeepSeek V4.1 Flash 1017 | Gemini 3.8 Flash |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 86 | 87 | 86 |
| Price | 25% | 34 | 74 | 40 |
| Inputs & features | 15% | 100 | 70 | 100 |
| Context window | 10% | 61 | 60 | 61 |
| Overall | 100% | 72/100 | 79/100 | 74/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Muse Spark 1.3Meta | DeepSeek V4.1 Flash 1017DeepSeek | Gemini 3.8 FlashGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 157.4 | 158.8 (best) | 157.6 |
| ECI rank | #24 of 165 | #19 of 165 (best) | #23 of 165 |
| GPQA DiamondGraduate-level science questions | — | 93.2% | 95.4% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 74.4% (best) | 71.2% | 68.4% |
| OTIS Mock AIME 2024–2025Competition mathematics | 99.2% | 99.4% (best) | 98.9% |
| SimpleQA VerifiedShort factual questions | — | 42.5% | 69.7% (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 | Yes | No | Yes |
| Video | Yes | No | Yes |
| Reasoning | Yesminimal · low · medium · high · xhigh · max | Yeslow · high · max | Yeslow · medium · high |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | OpenMIT | Proprietary |
| API model ID | muse-spark-1.3 | deepseek-flash | gemini-3.8-flash |
| API providers | 17 | 40 (best) | 32 |
| Released | Sep 2, 2026 | Oct 17, 2026 | Sep 2, 2026 |
| Knowledge cutoff | — | May 2025 | — |
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 1.3$21.00
- DeepSeek V4.1 Flash 1017$2.70
- Gemini 3.8 Flash$15.00
Which should you choose?
Which is better: Muse Spark 1.3, DeepSeek V4.1 Flash 1017 or Gemini 3.8 Flash?
DeepSeek V4.1 Flash 1017 is the better all-round choice, scoring 79/100 against Gemini 3.8 Flash (74) and Muse Spark 1.3 (72). It leads on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Muse Spark 1.3, DeepSeek V4.1 Flash 1017 or Gemini 3.8 Flash?
DeepSeek V4.1 Flash 1017 is cheaper at $0.15 input / $0.60 output per million tokens (official DeepSeek API price). Gemini 3.8 Flash costs $0.75 input / $3.75 output per million tokens (official Google API price); Muse Spark 1.3 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 1017 versus $1.50 for Gemini 3.8 Flash (5.7× as much) and $2.00 for Muse Spark 1.3 (7.6× as much).
Which scores higher on benchmarks?
DeepSeek V4.1 Flash 1017 scores higher on the Capabilities Index (ECI): DeepSeek V4.1 Flash 1017 158.8 (#19 of 165), Gemini 3.8 Flash 157.6 (#23 of 165) and Muse Spark 1.3 157.4 (#24 of 165). The confidence ranges of the top two overlap (156.7–162.2 vs 155.5–160.9), so treat the gap as small. On individual benchmarks: FrontierMath Tiers 1–3 — Muse Spark 1.3 74.4%, DeepSeek V4.1 Flash 1017 71.2%, Gemini 3.8 Flash 68.4%; OTIS Mock AIME 2024–2025 — DeepSeek V4.1 Flash 1017 99.4%, Muse Spark 1.3 99.2%, Gemini 3.8 Flash 98.9%.
Which is better for coding?
There are no published SWE-bench Verified results for Muse Spark 1.3, DeepSeek V4.1 Flash 1017 and Gemini 3.8 Flash yet, so there is no like-for-like coding score. On overall capability, DeepSeek V4.1 Flash 1017 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 1.3 and Gemini 3.8 Flash have the largest context windows (1,048,576 and 1,048,576 tokens), against 1,000,000 for DeepSeek V4.1 Flash 1017. Maximum output per response: Muse Spark 1.3 up to 131,072, DeepSeek V4.1 Flash 1017 up to 384,000, Gemini 3.8 Flash up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Muse Spark 1.3 accepts text, images, PDFs, audio and video; DeepSeek V4.1 Flash 1017 accepts text and images; Gemini 3.8 Flash accepts text, images, PDFs, audio and video. Muse Spark 1.3 handles the widest range of inputs.
Are any of these open source?
DeepSeek V4.1 Flash 1017 publishes its weights (MIT) and can be self-hosted; Muse Spark 1.3 and Gemini 3.8 Flash is proprietary.
Which is newer?
DeepSeek V4.1 Flash 1017 is the newest, released Oct 17, 2026. Muse Spark 1.3 came out Sep 2, 2026; Gemini 3.8 Flash came out Sep 2, 2026. Knowledge cutoff: DeepSeek V4.1 Flash 1017 May 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 Nov 2, 2026.
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