Gemini 3.8 Flash vs Muse Spark 1.2
At a Glance
| Compare |  Gemini 3.8 FlashGoogle DeepMind |  Muse Spark 1.2Meta |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #8 of 4682.0 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 54.7–88.0 | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #26 of 44$0.160 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #8 of 3860.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 46.7–63.4 | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.75Google AI ↗ · Sep 2, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $3.75Google AI ↗ · Sep 2, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,049K | Not reported |
| Model facts checked | Sep 2, 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 | Gemini 3.8 Flash | Muse Spark 1.2 |
|---|---|---|
| LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader | 4.71100% of row best · score · Gemini 3.8 Flash (High); 95% CI [2.80246501, 6.61533867]; sessions 12534; observations 712246; rank 13 | -1.7794% of row best · score · Muse Spark 1.2 (xHigh); 95% CI [-2.69255217, -0.84918781]; sessions 33094; observations 1437075; rank 32 |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · statistical tie | 1,494.67100% of row best · rating · gemini-3.8-flash-high; 95% CI [1486.13928353, 1503.20869643]; votes 5076; rank 6 | 1,489.44100% of row best · rating · muse-spark-1.2 (xHigh); 95% CI [1478.95697715, 1499.92080617]; votes 3227; rank 11 |
| LiveBench2026-06-25 · overall · leader | 80.8599% of row best · percent · gemini-3.8-flash-high · 42,786 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 · 1 tie | 1 benchmark winNo overall winner | 1 benchmark winNo overall winner |
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 3.8 Flash | Muse Spark 1.2 |
|---|---|---|
| Developer | Google DeepMind | Meta |
| Family | Gemini 3 | Muse Spark |
| Model | Gemini 3.8 Flash | Muse Spark 1.2 |
| Version | Gemini 3.8 Flash | Muse Spark 1.2 |
| Lifecycle | active | preview |
| Released | 2026-09-02 | 2026-08-05 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text, Image, Video, Audio |
| 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, code_execution, computer_use, generation, reasoning, structured_outputs, tools | chat, computer-use, generation, reasoning, research, structured_outputs, tools |
Gemini 3.8 Flash Capabilities
Muse Spark 1.2 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Gemini 3.8 Flash vs Muse Spark 1.2 FAQs
Is Gemini 3.8 Flash or Muse Spark 1.2 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.8 Flash and Muse Spark 1.2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 3.8 Flash or Muse Spark 1.2?+
Only Gemini 3.8 Flash has a directly sourced input price: $0.75 per million tokens. Only Gemini 3.8 Flash has a directly sourced output price: $3.75 per million tokens.
Which has a larger context window, Gemini 3.8 Flash or Muse Spark 1.2?+
Neither model has a larger sourced context window in this comparison. Gemini 3.8 Flash is 1,049K and Muse Spark 1.2 is —.
Which performs better in benchmarks, Gemini 3.8 Flash or Muse Spark 1.2?+
There is no overall benchmark winner: The verified common benchmarks do not produce a majority winner.
Can Gemini 3.8 Flash or Muse Spark 1.2 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Gemini 3.8 Flash is not marked open weight; Muse Spark 1.2 is not marked open weight.
Can Gemini 3.8 Flash and Muse Spark 1.2 understand images?+
Gemini 3.8 Flash is 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, Gemini 3.8 Flash or Muse Spark 1.2?+
Neither has a larger sourced maximum output. Gemini 3.8 Flash is 66K and Muse Spark 1.2 is —.
Do Gemini 3.8 Flash and Muse Spark 1.2 support reasoning and tool use?+
Gemini 3.8 Flash: reasoning, tool calling, and image input. Muse Spark 1.2: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 3.8 Flash or Muse Spark 1.2?+
Gemini 3.8 Flash has 2 sourced provider routes; Muse Spark 1.2 has 0, so Gemini 3.8 Flash has broader tracked availability.
Which offers better value, Gemini 3.8 Flash 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.