Gemini 2.5 Pro vs Muse Spark 1.3
At a Glance
| Compare |  Gemini 2.5 ProGoogle DeepMind |  Muse Spark 1.3Meta |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $1.25Google AI ↗ · Aug 29, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $10.00Google 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 2.5 Pro | Muse Spark 1.3 |
|---|---|---|
| LMArena Document Arenadocument-2026-09-13-d25aabda0010 · arena_rating · leader | 1,421.2397% of row best · rating · gemini-2.5-pro; 95% CI [1414.98072895, 1427.48825137]; votes 25110; rank 36 | 1,470.66100% of row best · rating · muse-spark-1.3-max; 95% CI [1452.36505006, 1488.94793707]; votes 1006; rank 15 |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,457.7798% of row best · rating · gemini-2.5-pro; 95% CI [1455.30542635, 1460.23799206]; votes 122554; rank 36 | 1,489.74100% of row best · rating · muse-spark-1.3-max; 95% CI [1480.91456937, 1498.56660928]; votes 4723; rank 10 |
| LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · leader | 1,262.1796% of row best · rating · gemini-2.5-pro; 95% CI [1257.50456844, 1266.82595195]; votes 87635; rank 45 | 1,314.56100% of row best · rating · muse-spark-1.3-max; 95% CI [1299.74034111, 1329.38210317]; votes 1804; rank 8 |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 78.2795% of row best · points · Gemini 2.5 Pro · 4,521 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 | 0 benchmark winsNo overall winner | 3 benchmark winsNo 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 2.5 Pro | Muse Spark 1.3 |
|---|---|---|
| Developer | Google DeepMind | Meta |
| Family | Gemini 2 5 | Muse Spark |
| Model | Gemini 2.5 Pro | Muse Spark 1.3 |
| Version | Gemini 2.5 Pro | Muse Spark 1.3 |
| Lifecycle | active | preview |
| Released | Unknown | 2026-09-02 |
| Knowledge cutoff | 2025-01-01 | 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 2.5 Pro Capabilities
Muse Spark 1.3 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Gemini 2.5 Pro vs Muse Spark 1.3 FAQs
Is Gemini 2.5 Pro or Muse Spark 1.3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 2.5 Pro 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 2.5 Pro or Muse Spark 1.3?+
Only Gemini 2.5 Pro has a directly sourced input price: $1.25 per million tokens. Only Gemini 2.5 Pro has a directly sourced output price: $10.00 per million tokens.
Which has a larger context window, Gemini 2.5 Pro or Muse Spark 1.3?+
Neither model has a larger sourced context window in this comparison. Gemini 2.5 Pro is 1,049K and Muse Spark 1.3 is —.
Which performs better in benchmarks, Gemini 2.5 Pro or Muse Spark 1.3?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can Gemini 2.5 Pro or Muse Spark 1.3 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Gemini 2.5 Pro is not marked open weight; Muse Spark 1.3 is not marked open weight.
Can Gemini 2.5 Pro and Muse Spark 1.3 understand images?+
Gemini 2.5 Pro 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 2.5 Pro or Muse Spark 1.3?+
Neither has a larger sourced maximum output. Gemini 2.5 Pro is 66K and Muse Spark 1.3 is —.
Do Gemini 2.5 Pro and Muse Spark 1.3 support reasoning and tool use?+
Gemini 2.5 Pro: 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 2.5 Pro or Muse Spark 1.3?+
Gemini 2.5 Pro has 2 sourced provider routes; Muse Spark 1.3 has 0, so Gemini 2.5 Pro has broader tracked availability.
Which offers better value, Gemini 2.5 Pro 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.