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Model comparison · accepted catalogue facts 2026-10-21

Gemini 3.1 Pro Preview vs Muse Spark 1.2

A quality score or a computable price is missing. This pair has no better-and-cheaper verdict.

Editorial comparison: Direct benchmark rivals: Muse Spark 1.2 (Meta) vs Gemini 3.1 Pro Preview (Google) with overlapping confidence intervals Inclusion does not recommend either model.

Gemini 3.1 Pro Preview

LMArena general · Elo · higher is better

Scale starts at 1040 Elo

1480.3

Balanced effective USD / 1M tokens · lower is better

Unknown

Muse Spark 1.2

LMArena general · Elo · higher is better

Scale starts at 1040 Elo

1484.9

Balanced effective USD / 1M tokens · lower is better

$2.00/M

In-Depth Analysis

Gemini 3.1 Pro Preview vs Muse Spark 1.2: Measured Technical Breakdown

Comprehensive comparison across measured human-preference evaluation, effective production token costs, architectural limits, and migration trade-offs.

Measured Capability (LMArena)
Muse Spark 1.2 leads by 4.6 Elo

Gemini 3.1 Pro Preview: 1480.3 ±2.95 · Muse Spark 1.2: 1484.9 ±7.38 Intervals overlap — not a guaranteed quality advantage

Cost Comparison Across Canonical Production Workloads

Rates represent effective cost per 1M tokens under standard token blends. Cached prompt reads are factored according to workload context reuse.

Workload & RatioGemini 3.1 Pro PreviewMuse Spark 1.2Cost DifferenceAdvantage
Balanced 3 tokens in per 1 outSeparately billed reasoning tokens are not part of this token blend.$2.00 /1M tokens—Custom quote needed
Summarise Huge input, tiny outputSeparately billed reasoning tokens are not part of this token blend.$1.09 /1M tokens—Custom quote needed
Chat Long cached system promptSeparately billed reasoning tokens are not part of this token blend.$2.12 /1M tokens—Custom quote needed
Code gen Output dominatesSeparately billed reasoning tokens are not part of this token blend.$2.96 /1M tokens—Custom quote needed
Agentic Context replayed each turnSeparately billed reasoning tokens are not part of this token blend.$1.05 /1M tokens—Custom quote needed

Architectural & Operational Specifications

SpecificationGemini 3.1 Pro PreviewMuse Spark 1.2Operational Note
Context window1,048,576 tokens1,048,576 tokens—
Max output generation65,536 tokens943,718 tokensMuse Spark 1.2 allows longer single-turn completions
Base input price$2.00 / 1M tokens$1.25 / 1M tokensMuse Spark 1.2 input rate is cheaper
Base output price$12.00 / 1M tokens$4.25 / 1M tokensMuse Spark 1.2 output rate is cheaper
Cached input price$0.200 / 1M tokens$0.150 / 1M tokensMuse Spark 1.2 offers lower cached prompt cost
Reasoning & thinking tokensSupported; separately billed at $12.00/1MSupported; standard rates—
Input modalitiesaudio, file, image, text, videotext, image, video, file, audio—
Tool calling / function useSupportedSupported—
Open weights & licenceProprietary (proprietary)Proprietary (proprietary)—
Provider & reseller marketGoogle · 6 provider offersMeta · 1 provider offers—

When to Choose Gemini 3.1 Pro Preview

  • Direct integration with Google tooling and API features.
Risks when moving from Muse Spark 1.2 → Gemini 3.1 Pro Preview:
  • Output limit: 943,718 → 65,536 tokens.

When to Choose Muse Spark 1.2

  • Higher measured general capability (1484.9 Elo on human evaluation).
  • Higher maximum completion limit (943,718 tokens).
  • Direct integration with Meta tooling and API features.

Detailed Evidence Passports & Independent Audits

Gemini 3.1 Pro Preview Full model card, pricing ladder & provider offers → Muse Spark 1.2 Full model card, pricing ladder & provider offers → Alternatives to Gemini 3.1 Pro Preview Better-and-cheaper dominance audit → Alternatives to Muse Spark 1.2 Better-and-cheaper dominance audit →

Compare · model decision

Choose two or three models

Inspect the differences, estimate your workload and keep the evidence. All standard catalogue models are available, including unrated ones.

Catalogue facts
2026-10-21

2 / 3 selected · 0 requirements
Open public comparison link
Public workload and requirements

These settings are included in the share link. The fixed-request scenario and private evaluation data below are excluded.

A ↔ B

A quality score or a computable price is missing. This pair has no better-and-cheaper verdict.

Estimated blend: 75% input, 25% output; 0% cached input. Base context tier. Prompt length selects the billing tier. An unlisted cache-read rate uses that tier’s full input rate in this blend; missing required input or output rates prevent an estimate. The fixed-request estimate below validates actual context and output limits and requires a published cache-read rate when cache hits are assumed.

What changes between these models

Quality first, then estimated price. LMArena scores are human-preference measurements, not a benchmark of your application. A missing score is unrated.

  • Gemini 3.1 Pro Preview · Meets the stated model requirements
  • Muse Spark 1.2 · Meets the stated model requirements
Material differences and unknown evidence. Deltas compare each model with model A. Unknown facts remain visible.
Measured factA Gemini 3.1 Pro PreviewB Muse Spark 1.2
LMArena general score (Elo)1,480.31,484.9Δ vs A: +4.6 Elo
Score interval half-width (± Elo)2.957.38Δ vs A: +4.43 Elo
Benchmark reasoning effortdefaultxhigh
LMArena document score (Elo)1,443.9Unknown
Estimated effective USD / 1M tokensUnknown$2
Base input USD / 1M tokens$2$1.25Δ vs A: -0.75 USD/M
Base output USD / 1M tokens$12$4.25Δ vs A: -7.75 USD/M
Base cached-input USD / 1M tokens$0.2$0.15Δ vs A: -0.05 USD/M
Output limit (tokens)65,536943,718Δ vs A: +878,182 tokens
Input modalitiesaudio, file, image, text, videotext, image, video, file, audio
Model providerGoogleMeta
Recorded retirement dateUnknownUnknown
8 shared measured facts
Shared measured facts. Deltas compare each model with model A. Unknown facts remain visible.
Measured factA Gemini 3.1 Pro PreviewB Muse Spark 1.2
Context window (tokens)1,048,5761,048,576Δ vs A: 0 tokens
Tool useSupportedSupportedΔ vs A: 0
ReasoningSupportedSupportedΔ vs A: 0
Open weightsNot supportedNot supportedΔ vs A: 0
Recorded licenceproprietaryproprietary
Distinct sellers in the catalogue11Δ vs A: 0
Serving precision differs across offersNot supportedNot supportedΔ vs A: 0
Retirement evidenceNone announced; not a guaranteeNone announced; not a guarantee

Provider counts and precision flags describe catalogue offers. They do not establish the precision, availability, region, tool behaviour or limits of your chosen endpoint. Open each model’s provider table before switching.

Complete price ladders and billing conditions

Gemini 3.1 Pro Preview

Estimate unavailable: Separately billed reasoning tokens are not part of this token blend.

Separate reasoning: $12/1M tokens; reasoning-token counts are not modelled here. Rates below are USD per 1M tokens. A threshold selects that whole input/output rate pair.

Input-token thresholdInputOutputCached input
Base, up to and including first threshold$2$12$0.2
> 200,000$4$18$0.4

Muse Spark 1.2

Rates below are USD per 1M tokens. A threshold selects that whole input/output rate pair.

Input-token thresholdInputOutputCached input
Base, up to and including first threshold$1.25$4.25$0.15
Migration preflight · compare each candidate with model A

Keeping Gemini 3.1 Pro Preview is a valid decision. No pairwise comparison certifies a drop-in replacement.

Gemini 3.1 Pro Preview → Muse Spark 1.2

No known model-capability loss

  • Provider endpoint, serving precision, availability and task success need your own verification. Catalogue model capabilities do not certify an endpoint.
Check alternatives to Gemini 3.1 Pro Preview

Estimate a fixed request shape

Private to this tab unless you save locally or explicitly export private details. These are estimates, not observed invoices. Cross-model token counts and task success are assumptions.

0.1 extra attempts means 10 extra full attempts per 100 requests. Cache writes, tool charges, taxes and unlisted charges are excluded.

  • Gemini 3.1 Pro PreviewEstimated total: unknown Separately billed reasoning tokens are not part of this request shape.
  • Muse Spark 1.2Estimated total: $4.625 1,000 full attempts · base rates
Prompt and output sensitivity · sampled scenarios

Every point recalculates the entire request shape. Tier-boundary samples include one token below, at and above each threshold. Ordering between samples is not guaranteed. Lowest known cost excludes unknown estimates and is not a replacement recommendation.

Vary input; hold output, requests, cache and retries fixed.
Input tokensGemini 3.1 Pro PreviewMuse Spark 1.2Coverage
2,000unknownSeparately billed reasoning tokens are not part of this request shape.$4.625Lowest knownIncomplete
4,096unknownSeparately billed reasoning tokens are not part of this request shape.$7.245Lowest knownIncomplete
32,768unknownSeparately billed reasoning tokens are not part of this request shape.$43.085Lowest knownIncomplete
131,072unknownSeparately billed reasoning tokens are not part of this request shape.$165.965Lowest knownIncomplete
199,999unknownSeparately billed reasoning tokens are not part of this request shape.$252.12375Lowest knownIncomplete
200,000unknownSeparately billed reasoning tokens are not part of this request shape.$252.125Lowest knownIncomplete
200,001unknownSeparately billed reasoning tokens are not part of this request shape.$252.12625Lowest knownIncomplete
Vary output; hold input, requests, cache and retries fixed.
Output tokensGemini 3.1 Pro PreviewMuse Spark 1.2
128unknownSeparately billed reasoning tokens are not part of this request shape.$3.044
2,048unknownSeparately billed reasoning tokens are not part of this request shape.$11.204
8,192unknownSeparately billed reasoning tokens are not part of this request shape.$37.316

Bring your observed evaluation results

JSON is parsed locally. Prompts, filenames, individual responses and extra fields are not retained. Import only aggregate measurements for selected models. Task/version labels do not establish that two evaluations used the same dataset.

Expected format
[{"model":"provider/exact-model-id","task":"support-answer","version":"rubric-1","attempts":100,"successes":84,"costUsd":2.4,"latencyMs":950}]

Use the exact catalogue ID. Replace the example values with observed measurements. Omit costUsd or latencyMs when they are unknown. No public score is inferred from these observations.

Keep the decision and its evidence

A portable record retains selected facts, complete tier ladders, public requirements and the publication manifest. It also embeds the full permitted public catalogue to verify the input artifact checksum. Files are larger for this reason (up to 2 MB); local storage is limited to 12 records. Team review is local to this browser; there is no hosted collaboration.

Saving is opt-in and includes private review fields. Shared comparison links never include them. Version 1 Check references remain separate and are not overwritten or guessed into this format.

Saved local decisions · 0

No version 2 decision records are stored in this browser.

Questions this page answers

Is Gemini 3.1 Pro Preview a better-and-cheaper replacement for Muse Spark 1.2?

A quality score or a computable price is missing. This pair has no better-and-cheaper verdict.

Which model is higher rated: Gemini 3.1 Pro Preview or Muse Spark 1.2?

Muse Spark 1.2 scores higher on LMArena general (1484.9 ±7.4) compared to Gemini 3.1 Pro Preview (1480.3 ±3.0), a margin of 4.6 Elo points. However, because the 95% confidence intervals overlap, this does not establish an unconditional superiority across all tasks.

Which model is more cost-effective: Gemini 3.1 Pro Preview or Muse Spark 1.2?

Gemini 3.1 Pro Preview bills reasoning tokens separately. Direct pricing comparison requires evaluating your specific input/output prompt ratios and reasoning settings.

How do their context windows and generation limits compare?

Both Gemini 3.1 Pro Preview and Muse Spark 1.2 provide an identical 1,048,576-token context window. Maximum output generation limits are 65,536 tokens for Gemini 3.1 Pro Preview and 943,718 tokens for Muse Spark 1.2.

What capabilities are lost when switching between Gemini 3.1 Pro Preview and Muse Spark 1.2?

Switching from Gemini 3.1 Pro Preview to Muse Spark 1.2 causes no detected architectural capability loss. Conversely, moving from Muse Spark 1.2 to Gemini 3.1 Pro Preview involves: Output limit: 943,718 → 65,536 tokens. Run test suites on your specific prompt templates and tool declarations before cutting over production traffic.

Can Gemini 3.1 Pro Preview or Muse Spark 1.2 be self-hosted or deployed privately?

Both Gemini 3.1 Pro Preview and Muse Spark 1.2 are proprietary cloud models offered via managed API endpoints. Gemini 3.1 Pro Preview is served by Google and 6 catalogue offers, while Muse Spark 1.2 is served by Meta and 1 catalogue offers.

What is included in this comparison?

Accepted model capabilities, context and output limits, complete price-tier ladders, independent LMArena measurements and missing evidence. Provider endpoint precision and application success still need verification.

Can I compare a different workload or keep a decision record?

Yes. Change the public workload, prompt length and requirements in the comparison workspace. Fixed-request scenarios, aggregate evaluations and review notes stay local unless explicitly exported.

Evidence & Ask
Markdown for LLMs