DeepSeek V4 Pro 0813 vs Muse Spark 1.1
At a Glance
| Compare |  DeepSeek V4 Pro 0813DeepSeek |  Muse Spark 1.1Meta |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #20 of 4665.0 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #20 of 44$0.094 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #14 of 3857.4 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $1.30Deepinfra ↗ · Sep 21, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $2.60Deepinfra ↗ · Sep 21, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,049K | 1,000K |
| Model facts checked | Sep 3, 2026View model evidence → | Sep 3, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
| Benchmark | DeepSeek-V4-Pro-0813 | Muse Spark 1.1 |
|---|---|---|
| LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader | 4.14100% of row best · score · DeepSeek V4 Pro (High) (0813); 95% CI [3.35150819, 4.93122185]; sessions 47602; observations 4132769; rank 16 | -2.9893% of row best · score · Muse Spark 1.1; 95% CI [-3.52464364, -2.43839720]; sessions 109338; observations 4434474; rank 33 |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,443.9598% of row best · rating · deepseek-v4-pro-high-20260813; 95% CI [1437.16050212, 1450.73220317]; votes 9008; rank 58 | 1,480.17100% of row best · rating · muse-spark-1.1; 95% CI [1475.34892554, 1484.99642998]; votes 27615; rank 15 |
| LiveBench2026-06-25 · overall · leader | 81.91100% of row best · percent · deepseek-v4-pro-0813 · 36,339 output tokens / case | 78.5796% of row best · percent · muse-spark-1.1-xhigh · 13,652 output tokens / case |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 84.68100% of row best · points · DeepSeek V4 Pro 0813 (max) · 18,462 output tokens / case | 80.7695% of row best · points · Muse Spark 1.1 (thinking) · 6,037 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 2 benchmark winsOverall lead | 1 benchmark win |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | DeepSeek-V4-Pro-0813 | Muse Spark 1.1 |
|---|---|---|
| Developer | DeepSeek | Meta |
| Family | Deepseek V4 Pro | Muse Spark |
| Model | DeepSeek-V4-Pro-0813 | Muse Spark 1.1 |
| Version | DeepSeek-V4-Pro-0813 | Muse Spark 1.1 |
| Lifecycle | active | preview |
| Released | 2026-08-13 | 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 | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard) | Unknown |
| Capabilities | agents, chat, coding, generation, reasoning, tools | chat, computer-use, generation, reasoning, research, structured_outputs, tools |
DeepSeek V4 Pro 0813 Capabilities
Muse Spark 1.1 Capabilities
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Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Pro 0813 vs Muse Spark 1.1 FAQs
Is DeepSeek V4 Pro 0813 or Muse Spark 1.1 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro 0813 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 0813 or Muse Spark 1.1?+
Only DeepSeek V4 Pro 0813 has a directly sourced input price: $1.30 per million tokens. Only DeepSeek V4 Pro 0813 has a directly sourced output price: $2.60 per million tokens.
Which has a larger context window, DeepSeek V4 Pro 0813 or Muse Spark 1.1?+
DeepSeek V4 Pro 0813 has the larger sourced context window. DeepSeek V4 Pro 0813 supports 1,049K and Muse Spark 1.1 supports 1,000K.
Which performs better in benchmarks, DeepSeek V4 Pro 0813 or Muse Spark 1.1?+
DeepSeek V4 Pro 0813 leads the current overall benchmark count. The result uses 3 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can DeepSeek V4 Pro 0813 or Muse Spark 1.1 be self-hosted?+
DeepSeek V4 Pro 0813 is the only model in this pair currently marked as self-hostable. DeepSeek V4 Pro 0813 is open weight; Muse Spark 1.1 is not marked open weight.
Can DeepSeek V4 Pro 0813 and Muse Spark 1.1 understand images?+
DeepSeek V4 Pro 0813 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 0813 or Muse Spark 1.1?+
Neither has a larger sourced maximum output. DeepSeek V4 Pro 0813 is — and Muse Spark 1.1 is —.
Do DeepSeek V4 Pro 0813 and Muse Spark 1.1 support reasoning and tool use?+
DeepSeek V4 Pro 0813: reasoning and tool calling. 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 0813 or Muse Spark 1.1?+
DeepSeek V4 Pro 0813 has 3 sourced provider routes; Muse Spark 1.1 has 0, so DeepSeek V4 Pro 0813 has broader tracked availability.
Which offers better value, DeepSeek V4 Pro 0813 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.