DeepSeek V4 Pro vs Muse Spark 1.2
Benchmark Performance
Available Benchmarks
| Benchmark | DeepSeek-V4-Pro | Muse Spark 1.2 |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,451.0097% of row best · rating · deepseek-v4-pro; 95% CI [1447.00829245, 1454.98663953]; votes 54243; rank 41 | 1,488.47100% of row best · rating · muse-spark-1.2 (xHigh); 95% CI [1478.00612479, 1498.93408698]; votes 3244; rank 8 |
| LiveBench2026-06-25 · overall · leader | 76.7994% of row best · percent · deepseek-v4-pro · 35,014 output tokens / case | 81.88100% of row best · percent · muse-spark-1.2-xhigh · 18,700 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 1.2 |
|---|---|---|
| Developer | DeepSeek | Meta |
| Family | Deepseek V4 Pro | Muse Spark |
| Model | DeepSeek-V4-Pro | Muse Spark 1.2 |
| Version | DeepSeek-V4-Pro | Muse Spark 1.2 |
| Lifecycle | active | preview |
| Released | 2026-04-24 | 2026-08-05 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video, Audio |
| Output modalities | Text | Text |
| Context window | 1,049K | Unknown |
| 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 |
12 comparable fields · 10 material differences · Pair passes the primary-source comparison gate
DeepSeek V4 Pro Capabilities
Muse Spark 1.2 Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
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Claude Fable 5.1Anthropic | vs | DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs | Grok 4.6xAI | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
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 1.2 FAQs
Is DeepSeek V4 Pro or Muse Spark 1.2 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro and Muse Spark 1.2, 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 1.2?+
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 1.2?+
Neither model has a larger sourced context window in this comparison. DeepSeek V4 Pro is 1,049K and Muse Spark 1.2 is —.
Which performs better in benchmarks, DeepSeek V4 Pro or Muse Spark 1.2?+
Muse Spark 1.2 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 1.2 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 1.2 is not marked open weight.
Can DeepSeek V4 Pro and Muse Spark 1.2 understand images?+
DeepSeek V4 Pro is not documented with image input; Muse Spark 1.2 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V4 Pro or Muse Spark 1.2?+
Neither has a larger sourced maximum output. DeepSeek V4 Pro is — and Muse Spark 1.2 is —.
Do DeepSeek V4 Pro and Muse Spark 1.2 support reasoning and tool use?+
DeepSeek V4 Pro: reasoning. Muse Spark 1.2: 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 1.2?+
DeepSeek V4 Pro has 6 sourced provider routes; Muse Spark 1.2 has 0, so DeepSeek V4 Pro has broader tracked availability.
Which offers better value, DeepSeek V4 Pro or Muse Spark 1.2?+
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.