Gemini 3.1 Pro vs Muse Spark 1.2

Model Markets Rankings

Intelligence, Cost, and Efficiency

All rankings →
RankingGemini 3.1 ProMuse Spark 1.2
CostLower is better · Published-token output estimate#22 of 36$0.161 per LiveBench caseUnrankedNot in the 36-model eligible cohort

Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.

Benchmark Performance

Available Benchmarks

BenchmarkGemini 3.1 ProMuse Spark 1.2
LMArena Agent Arenaagent-2026-08-31-011508720696 · outcome_score · leader-3.1396% of row best · score · Gemini 3.1 Pro Preview; 95% CI [-4.00806078, -2.24630473]; sessions 83248; observations 2709356; rank 400.97100% of row best · score · Muse Spark 1.2 (xHigh); 95% CI [-0.15615379, 2.09143176]; sessions 18416; observations 735300; rank 29
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · statistical tie1,480.1099% of row best · rating · gemini-3.1-pro-preview; 95% CI [1476.89767236, 1483.30025658]; votes 102763; rank 111,488.47100% of row best · rating · muse-spark-1.2 (xHigh); 95% CI [1478.00612479, 1498.93408698]; votes 3244; rank 8
LMArena Vision Arenavision-2026-08-27-011508720696 · arena_rating · statistical tie1,295.3999% of row best · rating · gemini-3.1-pro-preview; 95% CI [1289.75236576, 1301.03738662]; votes 39412; rank 171,304.12100% of row best · rating · muse-spark-1.2 (xHigh); 95% CI [1289.37421867, 1318.87511042]; votes 1844; rank 12
LiveBench2026-06-25 · overall · leader81.66100% of row best · percent · gemini-3.1-pro-preview-high · 13,380 output tokens / case81.88100% of row best · percent · muse-spark-1.2-xhigh · 18,700 output tokens / case
Overall ResultCounted from the protocol-matched rows above · 2 ties0 benchmark wins2 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.

FieldAt a Glance
Google DeepMind · previewGemini 3.1 ProVerified Aug 29, 2026
Meta · previewMuse Spark 1.2Verified Sep 3, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldGemini 3.1 ProMuse Spark 1.2
DeveloperGoogle DeepMindMeta
FamilyGemini 3Muse Spark
ModelGemini 3.1 ProMuse Spark 1.2
VersionGemini 3.1 ProMuse Spark 1.2
Lifecyclepreviewpreview
ReleasedUnknown2026-08-05
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, Audio, DocumentText, Image, Video, Audio
Output modalitiesTextText
Context window1,049KUnknown
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessGoogle AI (Standard), Google Gemini (Standard)Unknown
Capabilitieschat, generation, reasoning, toolschat, computer-use, generation, reasoning, research, structured_outputs, tools

11 comparable fields · 6 material differences · Pair passes the primary-source comparison gate

Gemini 3.1 Pro Capabilities

chatgenerationreasoningtools
Input price$2.00
Output price$12.00
Serving providers2
Canonical IDgoogle-deepmind/gemini-3.1-pro-preview

Muse Spark 1.2 Capabilities

chatcomputer-usegenerationreasoningresearchstructured outputstools
Input price
Output price
Serving providers0
Canonical IDmeta-llama/muse-spark-1.2

Internal Comparison Graph

Related Comparisons

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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?+

Neither model has a larger sourced context window in this comparison. Gemini 3.1 Pro is 1,049K and Muse Spark 1.2 is —.

Which performs better in benchmarks, Gemini 3.1 Pro or Muse Spark 1.2?+

Muse Spark 1.2 leads the current overall benchmark count. The result uses 4 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.

Can Gemini 3.1 Pro or Muse Spark 1.2 be self-hosted?+

Both models have the same recorded 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?+

Neither has a larger sourced maximum output. Gemini 3.1 Pro is 66K and Muse Spark 1.2 is —.

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.

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