Gemini 3.1 Pro vs Muse Spark 1.2
At a Glance
| Compare |  Gemini 3.1 ProGoogle DeepMind |  Muse Spark 1.2Meta |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | #9 of 5782.1 score · 3/3 sources · complete | UnrankedNot in the 57-model eligible cohort |
| CostLower is better · Published-token output estimate | #18 of 27$0.161 per LiveBench case | UnrankedNot in the 27-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.9 | #8 of 2754.6 score · 3/3 sources · complete | UnrankedNot in the 27-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $2.00Google AI ↗ · Aug 29, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $12.00Google AI ↗ · Aug 29, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,049K | Not reported |
| Model facts checked | Aug 29, 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 3.1 Pro | Muse Spark 1.2 |
|---|---|---|
| LMArena Agent Arenaagent-2026-10-16-a64ca3b12b6e · outcome_score · leader | -4.00100% of row best · score · Gemini 3.1 Pro Preview; 95% CI [-5.35690873, -2.63856355]; sessions 87236; observations 2815597; rank 39 | -6.4197% of row best · score · Muse Spark 1.2 (xHigh); 95% CI [-7.24140950, -5.58489868]; sessions 51435; observations 3268541; rank 43 |
| LMArena Vision Arenavision-2026-10-09-a64ca3b12b6e · arena_rating · statistical tie | 1,296.2099% of row best · rating · gemini-3.1-pro-preview; 95% CI [1291.04958388, 1301.35691905]; votes 46320; rank 22 | 1,304.55100% of row best · rating · muse-spark-1.2 (xHigh); 95% CI [1290.22866830, 1318.87305829]; votes 1954; rank 17 |
| LiveBench2026-06-25-90f8d44da965 · overall · leader | 81.66100% of row best · percent · gemini-3.1-pro-preview-high · 13,380 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 3.1 Pro | Muse Spark 1.2 |
|---|---|---|
| Developer | Google DeepMind | Meta |
| Family | Gemini 3 | Muse Spark |
| Model | Gemini 3.1 Pro | Muse Spark 1.2 |
| Version | Gemini 3.1 Pro | Muse Spark 1.2 |
| Lifecycle | preview | preview |
| Released | Unknown | 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, generation, reasoning, tools | chat, computer-use, generation, reasoning, research, structured_outputs, tools |
Gemini 3.1 Pro Capabilities
Muse Spark 1.2 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Gemini 3.1 Pro vs Muse Spark 1.2 FAQs
Is Gemini 3.1 Pro or Muse Spark 1.2 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.1 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, Gemini 3.1 Pro or Muse Spark 1.2?+
Only Gemini 3.1 Pro has a directly sourced input price: $2.00 per million tokens. Only Gemini 3.1 Pro has a directly sourced output price: $12.00 per million tokens.
Which has a larger context window, Gemini 3.1 Pro or Muse Spark 1.2?+
Gemini 3.1 Pro has a sourced context window of 1,048,576 tokens; Muse Spark 1.2's context window is not reported. A larger limit cannot be determined.
Which performs better in benchmarks, Gemini 3.1 Pro or Muse Spark 1.2?+
There is no overall benchmark winner: The verified common benchmarks do not produce a majority winner.
Can Gemini 3.1 Pro or Muse Spark 1.2 be self-hosted?+
Both models have the same sourced self-hosting status: unsupported. Gemini 3.1 Pro is not marked open weight; Muse Spark 1.2 is not marked open weight.
Can Gemini 3.1 Pro and Muse Spark 1.2 understand images?+
Gemini 3.1 Pro 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 3.1 Pro or Muse Spark 1.2?+
Gemini 3.1 Pro has a sourced maximum output of 65,536 tokens; Muse Spark 1.2's maximum output is not reported. A larger limit cannot be determined.
Do Gemini 3.1 Pro and Muse Spark 1.2 support reasoning and tool use?+
Gemini 3.1 Pro: 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 3.1 Pro or Muse Spark 1.2?+
Gemini 3.1 Pro has 2 sourced provider routes; Muse Spark 1.2 has 0, so Gemini 3.1 Pro has broader tracked availability.
Which offers better value, Gemini 3.1 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.