DeepSeek V4 Pro vs Muse Spark 1.1
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | DeepSeek-V4-Pro | Muse Spark 1.1 |
|---|---|---|
| CostLower is better · Published-token output estimate | #9 of 36$0.054 per LiveBench case | UnrankedNot in the 36-model eligible cohort |
Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.
Benchmark Performance
Available Benchmarks
| Benchmark | DeepSeek-V4-Pro | Muse Spark 1.1 |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,451.0098% of row best · rating · deepseek-v4-pro; 95% CI [1447.00829245, 1454.98663953]; votes 54243; rank 41 | 1,479.03100% of row best · rating · muse-spark-1.1; 95% CI [1473.99485495, 1484.06002682]; votes 23768; rank 14 |
| LiveBench2026-06-25 · overall · leader | 76.7998% of row best · percent · deepseek-v4-pro · 35,014 output tokens / case | 78.57100% of row best · percent · muse-spark-1.1-xhigh · 13,652 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark wins | 2 benchmark winsOverall lead |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Technical Differences
Side-by-Side Facts
| Field | DeepSeek-V4-Pro | Muse Spark 1.1 |
|---|---|---|
| Developer | DeepSeek | Meta |
| Family | Deepseek V4 Pro | Muse Spark |
| Model | DeepSeek-V4-Pro | Muse Spark 1.1 |
| Version | DeepSeek-V4-Pro | Muse Spark 1.1 |
| Lifecycle | active | preview |
| Released | 2026-04-24 | 2026-07-09 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video, Audio |
| Output modalities | Text | Text |
| Context window | 1,049K | 1,000K |
| Total parameters | 1.6T | Unknown |
| Active parameters | 49B | Unknown |
| License | mit | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | DeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Unknown |
| Capabilities | chat, generation, reasoning | chat, computer-use, generation, reasoning, research, structured_outputs, tools |
13 comparable fields · 11 material differences · Pair passes the primary-source comparison gate
DeepSeek V4 Pro Capabilities
Muse Spark 1.1 Capabilities
Internal Comparison Graph
Related Comparisons
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|---|---|---|---|
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DeepSeek-V4-ProDeepSeek | vs | Kimi-K3Moonshot AI | cross-developer peerstext |
MiniMax-M3MiniMax | vs | DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs | GLM-5.3Z.ai | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs | Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs | Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Pro vs Muse Spark 1.1 FAQs
Is DeepSeek V4 Pro or Muse Spark 1.1 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro and Muse Spark 1.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V4 Pro or Muse Spark 1.1?+
Only DeepSeek V4 Pro has a directly sourced input price: $0.66 per million tokens. Only DeepSeek V4 Pro has a directly sourced output price: $1.5441 per million tokens.
Which has a larger context window, DeepSeek V4 Pro or Muse Spark 1.1?+
DeepSeek V4 Pro has the larger sourced context window. DeepSeek V4 Pro supports 1,049K and Muse Spark 1.1 supports 1,000K.
Which performs better in benchmarks, DeepSeek V4 Pro or Muse Spark 1.1?+
Muse Spark 1.1 leads the current overall benchmark count. The result uses 2 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can DeepSeek V4 Pro or Muse Spark 1.1 be self-hosted?+
DeepSeek V4 Pro is the only model in this pair currently marked as self-hostable. DeepSeek V4 Pro is open weight; Muse Spark 1.1 is not marked open weight.
Can DeepSeek V4 Pro and Muse Spark 1.1 understand images?+
DeepSeek V4 Pro is not documented with image input; Muse Spark 1.1 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V4 Pro or Muse Spark 1.1?+
Neither has a larger sourced maximum output. DeepSeek V4 Pro is — and Muse Spark 1.1 is —.
Do DeepSeek V4 Pro and Muse Spark 1.1 support reasoning and tool use?+
DeepSeek V4 Pro: reasoning. Muse Spark 1.1: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Pro or Muse Spark 1.1?+
DeepSeek V4 Pro has 6 sourced provider routes; Muse Spark 1.1 has 0, so DeepSeek V4 Pro has broader tracked availability.
Which offers better value, DeepSeek V4 Pro or Muse Spark 1.1?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.