DeepSeek V4 Pro 0813 vs Gemini 3.7 Flash vs Muse Spark 1.3
Too close to call on our weighted score (Gemini 3.7 Flash 75, Muse Spark 1.3 73, DeepSeek V4 Pro 0813 68). The right pick depends on what you value most.
DeepSeekDeepSeek V4 Pro 0813
68/100- ECI155.4
- Price$0.66 / $1.98
- Context1M
GoogleGemini 3.7 Flash
75/100- ECI157.4
- Price$0.75 / $3.75
- Context1.05M
MetaMuse Spark 1.3
73/100- ECI156.9
- Price$1.25 / $4.25
- Context1.05M
Too close to call
It is close. Our weighted score puts them within 2 points (Gemini 3.7 Flash 75/100, Muse Spark 1.3 73/100, DeepSeek V4 Pro 0813 68/100), so choose by what matters most for your work: Gemini 3.7 Flash for raw capability and DeepSeek V4 Pro 0813 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGemini 3.7 FlashCapabilities Index (ECI): Gemini 3.7 Flash 157.4 · Muse Spark 1.3 156.9 · DeepSeek V4 Pro 0813 155.4
- Lowest priceDeepSeek V4 Pro 0813DeepSeek V4 Pro 0813 $0.99 · Gemini 3.7 Flash $1.50 · Muse Spark 1.3 $2.00 per 1M tokens (3:1 blend)
- Longest contextGemini 3.7 Flash and Muse Spark 1.3Gemini 3.7 Flash 1,048,576 · Muse Spark 1.3 1,048,576 · DeepSeek V4 Pro 0813 1,000,000 tokens
- Widest inputsGemini 3.7 Flash and Muse Spark 1.3DeepSeek V4 Pro 0813: Text · Gemini 3.7 Flash: Text, Images, PDFs, Audio, Video · Muse Spark 1.3: Text, Images, PDFs, Audio, Video
- Self-hostingDeepSeek V4 Pro 0813Publishes downloadable weights (MIT)
| Measure | Weight | DeepSeek V4 Pro 0813 | Gemini 3.7 Flash | Muse Spark 1.3 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 85 | 88 | 87 |
| Price | 25% | 50 | 42 | 36 |
| Inputs & features | 15% | 45 | 100 | 100 |
| Context window | 10% | 60 | 61 | 61 |
| Overall | 100% | 68/100 | 75/100 | 73/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | DeepSeek V4 Pro 0813DeepSeek | Gemini 3.7 FlashGoogle | Muse Spark 1.3Meta |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 155.4 | 157.4 (best) | 156.9 |
| ECI rank | #26 of 148 | #14 of 148 (best) | #17 of 148 |
| GPQA DiamondGraduate-level science questions | 91.7% | 94.8% (best) | — |
| FrontierMath Tiers 1–3Research-level mathematics | 64.6% | 71.6% | 74.4% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 98.6% | 97.2% | 99.2% (best) |
| SimpleQA VerifiedShort factual questions | 52.9% | 69.2% (best) | — |
| Price per million tokens | |||
| Input | $0.66 (best) | $0.75 | $1.25 |
| Output | $1.98 (best) | $3.75 | $4.25 |
| Cached input | $0.022 (best) | $0.075 | $0.15 |
| Blended (3:1) | $0.99 (best) | $1.50 | $2.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official DeepSeek API | Official Google API | Official Meta API |
| Limits | |||
| Context window | 1,000,000 tokens | 1,048,576 tokens (best) | 1,048,576 tokens (best) |
| Max output | 384,000 tokens (best) | 65,536 tokens | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | Yes | Yes |
| Audio | No | Yes | Yes |
| Video | No | Yes | Yes |
| Reasoning | Yeslow · high · max | Yeslow · medium · high | Yesminimal · low · medium · high · xhigh · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | OpenMIT | Proprietary | Proprietary |
| API model ID | deepseek-v4-pro | gemini-3.7-flash | muse-spark-1.3 |
| API providers | 37 (best) | 24 | 12 |
| Released | Aug 12, 2026 | Aug 13, 2026 | Sep 2, 2026 |
| Knowledge cutoff | — | 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.
- DeepSeek V4 Pro 0813$10.56
- Gemini 3.7 Flash$15.00
- Muse Spark 1.3$21.00
Which should you choose?
Which is better: DeepSeek V4 Pro 0813, Gemini 3.7 Flash or Muse Spark 1.3?
It is close. Our weighted score puts them within 2 points (Gemini 3.7 Flash 75/100, Muse Spark 1.3 73/100, DeepSeek V4 Pro 0813 68/100), so choose by what matters most for your work: Gemini 3.7 Flash for raw capability and DeepSeek V4 Pro 0813 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, DeepSeek V4 Pro 0813, Gemini 3.7 Flash or Muse Spark 1.3?
DeepSeek V4 Pro 0813 is cheaper at $0.66 input / $1.98 output per million tokens (official DeepSeek API price). Gemini 3.7 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 $0.99 per million tokens for DeepSeek V4 Pro 0813 versus $1.50 for Gemini 3.7 Flash (1.5× as much) and $2.00 for Muse Spark 1.3 (2× as much).
Which scores higher on benchmarks?
Gemini 3.7 Flash scores higher on the Capabilities Index (ECI): Gemini 3.7 Flash 157.4 (#14 of 148), Muse Spark 1.3 156.9 (#17 of 148) and DeepSeek V4 Pro 0813 155.4 (#26 of 148). The confidence ranges of the top two overlap (155.4–160.1 vs 154.7–159.6), so treat the gap as small. On individual benchmarks: FrontierMath Tiers 1–3 — Muse Spark 1.3 74.4%, Gemini 3.7 Flash 71.6%, DeepSeek V4 Pro 0813 64.6%; OTIS Mock AIME 2024–2025 — Muse Spark 1.3 99.2%, DeepSeek V4 Pro 0813 98.6%, Gemini 3.7 Flash 97.2%.
Which is better for coding?
There are no published SWE-bench Verified results for DeepSeek V4 Pro 0813, Gemini 3.7 Flash and Muse Spark 1.3 yet, so there is no like-for-like coding score. On overall capability, Gemini 3.7 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 3.7 Flash and Muse Spark 1.3 have the largest context windows (1,048,576 and 1,048,576 tokens), against 1,000,000 for DeepSeek V4 Pro 0813. Maximum output per response: DeepSeek V4 Pro 0813 up to 384,000, Gemini 3.7 Flash up to 65,536, Muse Spark 1.3 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
DeepSeek V4 Pro 0813 accepts text; Gemini 3.7 Flash accepts text, images, PDFs, audio and video; Muse Spark 1.3 accepts text, images, PDFs, audio and video. Gemini 3.7 Flash handles the widest range of inputs.
Are any of these open source?
DeepSeek V4 Pro 0813 publishes its weights (MIT) and can be self-hosted; Gemini 3.7 Flash and Muse Spark 1.3 is proprietary.
Which is newer?
Muse Spark 1.3 is the newest, released Sep 2, 2026. Gemini 3.7 Flash came out Aug 13, 2026; DeepSeek V4 Pro 0813 came out Aug 12, 2026. Knowledge cutoff: Gemini 3.7 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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