Gemini 3.7 Flash vs Muse Spark 1.3
At a Glance
| Compare |  Gemini 3.7 FlashGoogle DeepMind |  Muse Spark 1.3Meta |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #4 of 4687.7 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #17 of 44$0.085 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #2 of 3869.9 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.75Google AI ↗ · Aug 29, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $3.75Google AI ↗ · Aug 29, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,049K | Not reported |
| Model facts checked | Aug 29, 2026View model evidence → | Sep 4, 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 | Gemini 3.7 Flash | Muse Spark 1.3 |
|---|---|---|
| LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader | -0.6095% of row best · score · Gemini 3.7 Flash (High); 95% CI [-1.25249139, 0.04302776]; sessions 48195; observations 3925675; rank 28 | 4.20100% of row best · score · Muse Spark 1.3 (Max); 95% CI [3.33950614, 5.06185896]; sessions 31052; observations 2525117; rank 15 |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · statistical tie | 1,490.49100% of row best · rating · gemini-3.7-flash-high; 95% CI [1482.31296820, 1498.67106273]; votes 5640; rank 8 | 1,489.74100% of row best · rating · muse-spark-1.3-max; 95% CI [1480.91456937, 1498.56660928]; votes 4723; rank 10 |
| LiveBench2026-06-25 · overall · leader | 83.1597% of row best · percent · gemini-3.7-flash-high · 22,610 output tokens / case | 85.47100% of row best · percent · muse-spark-1.3-xhigh · 28,234 output tokens / case |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 77.9594% of row best · points · Gemini 3.7 Flash (high thinking) · 9,139 output tokens / case | 82.63100% of row best · points · Muse Spark 1.3 (thinking) · 6,301 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above · 1 tie | 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.
Side-by-Side Facts
| Field | Gemini 3.7 Flash | Muse Spark 1.3 |
|---|---|---|
| Developer | Google DeepMind | Meta |
| Family | Gemini 3 | Muse Spark |
| Model | Gemini 3.7 Flash | Muse Spark 1.3 |
| Version | Gemini 3.7 Flash | Muse Spark 1.3 |
| Lifecycle | active | preview |
| Released | Unknown | 2026-09-02 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 1,049K | Unknown |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Google AI (Standard), Google Gemini (Standard) | Unknown |
| Capabilities | chat, generation, reasoning, tools | chat, computer-use, generation, reasoning, research, tools |
Gemini 3.7 Flash Capabilities
Muse Spark 1.3 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Gemini 3.7 Flash vs Muse Spark 1.3 FAQs
Is Gemini 3.7 Flash or Muse Spark 1.3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.7 Flash and Muse Spark 1.3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 3.7 Flash or Muse Spark 1.3?+
Only Gemini 3.7 Flash has a directly sourced input price: $0.75 per million tokens. Only Gemini 3.7 Flash has a directly sourced output price: $3.75 per million tokens.
Which has a larger context window, Gemini 3.7 Flash or Muse Spark 1.3?+
Neither model has a larger sourced context window in this comparison. Gemini 3.7 Flash is 1,049K and Muse Spark 1.3 is —.
Which performs better in benchmarks, Gemini 3.7 Flash or Muse Spark 1.3?+
Muse Spark 1.3 leads the current overall benchmark count. The result uses 3 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can Gemini 3.7 Flash or Muse Spark 1.3 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Gemini 3.7 Flash is not marked open weight; Muse Spark 1.3 is not marked open weight.
Can Gemini 3.7 Flash and Muse Spark 1.3 understand images?+
Gemini 3.7 Flash is documented with image input; Muse Spark 1.3 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 3.7 Flash or Muse Spark 1.3?+
Neither has a larger sourced maximum output. Gemini 3.7 Flash is 66K and Muse Spark 1.3 is —.
Do Gemini 3.7 Flash and Muse Spark 1.3 support reasoning and tool use?+
Gemini 3.7 Flash: reasoning, tool calling, and image input. Muse Spark 1.3: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 3.7 Flash or Muse Spark 1.3?+
Gemini 3.7 Flash has 2 sourced provider routes; Muse Spark 1.3 has 0, so Gemini 3.7 Flash has broader tracked availability.
Which offers better value, Gemini 3.7 Flash or Muse Spark 1.3?+
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.