Muse Spark 1.1 vs DeepSeek V4 Pro 0813
Too close to call on our weighted score (Muse Spark 1.1 70, DeepSeek V4 Pro 0813 68). The right pick depends on what you value most.
MetaMuse Spark 1.1
70/100- ECI154.3
- Price$1.25 / $4.25
- Context1.05M
DeepSeekDeepSeek V4 Pro 0813
68/100- ECI155.4
- Price$0.66 / $1.98
- Context1M
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Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 3 points (Muse Spark 1.1 70/100, DeepSeek V4 Pro 0813 68/100), so choose by what matters most for your work: DeepSeek V4 Pro 0813 for raw capability and Muse Spark 1.1 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityDeepSeek V4 Pro 0813Capabilities Index (ECI): DeepSeek V4 Pro 0813 155.4 · Muse Spark 1.1 154.3
- Lowest priceDeepSeek V4 Pro 0813DeepSeek V4 Pro 0813 $0.99 · Muse Spark 1.1 $2.00 per 1M tokens (3:1 blend)
- Longest contextMuse Spark 1.1Muse Spark 1.1 1,048,576 · DeepSeek V4 Pro 0813 1,000,000 tokens
- Widest inputsMuse Spark 1.1Muse Spark 1.1: Text, Images, PDFs, Video · DeepSeek V4 Pro 0813: Text
- Self-hostingDeepSeek V4 Pro 0813Publishes downloadable weights (MIT)
| Measure | Weight | Muse Spark 1.1 | DeepSeek V4 Pro 0813 |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 84 | 85 |
| Price | 25% | 36 | 50 |
| Inputs & features | 15% | 90 | 45 |
| Context window | 10% | 61 | 60 |
| Overall | 100% | 70/100 | 68/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Muse Spark 1.1Meta | DeepSeek V4 Pro 0813DeepSeek |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 154.3 | 155.4 (best) |
| ECI rank | #35 of 148 | #26 of 148 (best) |
| GPQA DiamondGraduate-level science questions | — | 91.7% |
| FrontierMath Tiers 1–3Research-level mathematics | — | 64.6% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 98.6% |
| SimpleQA VerifiedShort factual questions | 57.8% (best) | 52.9% |
| Price per million tokens | ||
| Input | $1.25 | $0.66 (best) |
| Output | $4.25 | $1.98 (best) |
| Cached input | $0.15 | $0.022 (best) |
| Blended (3:1) | $2.00 | $0.99 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Meta API | Official DeepSeek API |
| Limits | ||
| Context window | 1,048,576 tokens (best) | 1,000,000 tokens |
| Max output | 131,072 tokens | 384,000 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | Yes | No |
| Audio | No | No |
| Video | Yes | No |
| Reasoning | Yesminimal · low · medium · high · xhigh | Yeslow · high · max |
| Tool calling | Yes | Yes |
| Structured output | Yes | Yes |
| Availability | ||
| Weights | Proprietary | OpenMIT |
| API model ID | muse-spark-1.1 | deepseek-v4-pro |
| API providers | 13 | 37 (best) |
| Released | Jul 9, 2026 | Aug 12, 2026 |
| Knowledge cutoff | — | — |
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 Pro 0813$10.56
Which should you choose?
Which is better: Muse Spark 1.1 or DeepSeek V4 Pro 0813?
It is close. Our weighted score puts them within 3 points (Muse Spark 1.1 70/100, DeepSeek V4 Pro 0813 68/100), so choose by what matters most for your work: DeepSeek V4 Pro 0813 for raw capability and Muse Spark 1.1 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Muse Spark 1.1 or DeepSeek V4 Pro 0813?
DeepSeek V4 Pro 0813 is cheaper at $0.66 input / $1.98 output per million tokens (official DeepSeek 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 $0.99 per million tokens for DeepSeek V4 Pro 0813 versus $2.00 for Muse Spark 1.1 (2× as much).
Which scores higher on benchmarks?
DeepSeek V4 Pro 0813 scores higher on the Capabilities Index (ECI): DeepSeek V4 Pro 0813 155.4 (#26 of 148) and Muse Spark 1.1 154.3 (#35 of 148). The confidence ranges of the top two overlap (153.7–157.6 vs 152.2–157.1), so treat the gap as small. On individual benchmarks: SimpleQA Verified — Muse Spark 1.1 57.8%, DeepSeek V4 Pro 0813 52.9%.
Which is better for coding?
There are no published SWE-bench Verified results for Muse Spark 1.1 and DeepSeek V4 Pro 0813 yet, so there is no like-for-like coding score. On overall capability, DeepSeek V4 Pro 0813 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.
Which has the bigger context window?
Muse Spark 1.1 has the largest context window at 1,048,576 tokens, against 1,000,000 for DeepSeek V4 Pro 0813. Maximum output per response: Muse Spark 1.1 up to 131,072, DeepSeek V4 Pro 0813 up to 384,000 tokens.
Which can read images, PDFs, audio or video?
Muse Spark 1.1 accepts text, images, PDFs and video; DeepSeek V4 Pro 0813 accepts text. Muse Spark 1.1 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; Muse Spark 1.1 is proprietary.
Which is newer?
DeepSeek V4 Pro 0813 is the newest, released Aug 12, 2026. Muse Spark 1.1 came out Jul 9, 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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