DeepSeek V4.1 Flash vs Muse Spark 1.1
At a Glance
| Compare |  DeepSeek V4.1 FlashDeepSeek |  Muse Spark 1.1Meta |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| CostLower is better · Published-token output estimate | #5 of 44$0.022 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.15DeepSeek ↗ · Sep 10, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $0.60Deepinfra ↗ · Sep 21, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,049K | 1,000K |
| Model facts checked | Sep 10, 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-V4.1-Flash | Muse Spark 1.1 |
|---|---|---|
| LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader | 4.88100% of row best · score · Deepseek V4.1 Flash (Max); 95% CI [3.54852933, 6.21109128]; sessions 20080; observations 2295632; rank 12 | -2.9893% of row best · score · Muse Spark 1.1; 95% CI [-3.52464364, -2.43839720]; sessions 109338; observations 4434474; rank 33 |
| LiveBench2026-06-25 · overall · leader | 83.20100% of row best · percent · deepseek-v4.1-flash-max · 36,355 output tokens / case | 78.5794% of row best · percent · muse-spark-1.1-xhigh · 13,652 output tokens / case |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 88.03100% of row best · points · DeepSeek V4.1 Flash (max) · 18,199 output tokens / case | 80.7692% 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 | 0 benchmark wins |
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-V4.1-Flash | Muse Spark 1.1 |
|---|---|---|
| Developer | DeepSeek | Meta |
| Family | Deepseek V4 1 | Muse Spark |
| Model | DeepSeek-V4.1-Flash | Muse Spark 1.1 |
| Version | DeepSeek-V4.1-Flash | Muse Spark 1.1 |
| Lifecycle | active | preview |
| Released | 2026-09-10 | 2026-07-09 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image, Video, Audio |
| Output modalities | Text | Text |
| Context window | 1,049K | 1,000K |
| Total parameters | 763.2B | Unknown |
| Active parameters | Unknown | Unknown |
| License | mit | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | DeepSeek (Standard), Deepinfra (Standard), Together Ai (Standard) | Unknown |
| Capabilities | agents, chat, fim, generation, reasoning, responses, structured_outputs, tools, vision | chat, computer-use, generation, reasoning, research, structured_outputs, tools |
| Architecture design | Causal Encoder-Decoder (20 encoder + 20 decoder layers) | Unknown |
| Backbone parameters | 552000000000 parameters | Unknown |
| Active parameters during decode | 16000000000 parameters | Unknown |
| Active parameters during prefill | 8000000000 parameters | Unknown |
| Pre-training corpus | 45000000000000 tokens | Unknown |
| Reasoning effort range | 1–100 | Unknown |
| Routed experts per MoE layer | 384 experts | Unknown |
| Routed experts per token | 6 experts | Unknown |
| Transformer layers | 40 layers | Unknown |
DeepSeek V4.1 Flash Capabilities
Muse Spark 1.1 Capabilities
Related Comparisons
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|---|---|---|---|
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Primary Evidence
Sources and Freshness
Questions
DeepSeek V4.1 Flash vs Muse Spark 1.1 FAQs
Is DeepSeek V4.1 Flash or Muse Spark 1.1 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4.1 Flash 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 V4.1 Flash or Muse Spark 1.1?+
Only DeepSeek V4.1 Flash has a directly sourced input price: $0.15 per million tokens. Only DeepSeek V4.1 Flash has a directly sourced output price: $0.60 per million tokens.
Which has a larger context window, DeepSeek V4.1 Flash or Muse Spark 1.1?+
DeepSeek V4.1 Flash has the larger sourced context window. DeepSeek V4.1 Flash supports 1,049K and Muse Spark 1.1 supports 1,000K.
Which performs better in benchmarks, DeepSeek V4.1 Flash or Muse Spark 1.1?+
DeepSeek V4.1 Flash 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 V4.1 Flash or Muse Spark 1.1 be self-hosted?+
DeepSeek V4.1 Flash is the only model in this pair currently marked as self-hostable. DeepSeek V4.1 Flash is open weight; Muse Spark 1.1 is not marked open weight.
Can DeepSeek V4.1 Flash and Muse Spark 1.1 understand images?+
DeepSeek V4.1 Flash is 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 V4.1 Flash or Muse Spark 1.1?+
Neither has a larger sourced maximum output. DeepSeek V4.1 Flash is 393K and Muse Spark 1.1 is —.
Do DeepSeek V4.1 Flash and Muse Spark 1.1 support reasoning and tool use?+
DeepSeek V4.1 Flash: reasoning, tool calling, and image input. 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 V4.1 Flash or Muse Spark 1.1?+
DeepSeek V4.1 Flash has 3 sourced provider routes; Muse Spark 1.1 has 0, so DeepSeek V4.1 Flash has broader tracked availability.
Which offers better value, DeepSeek V4.1 Flash 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.