Gemini 3 Flash vs Muse Spark 1.1
Benchmark Performance
Available Benchmarks
| Benchmark | Gemini 3 Flash | Muse Spark 1.1 |
|---|---|---|
| LMArena Agent Arenaagent-2026-08-31-011508720696 · outcome_score · leader | -11.2489% of row best · score · Gemini 3 Flash; 95% CI [-12.27770994, -10.19849473]; sessions 83413; observations 1925564; rank 52 | -0.73100% of row best · score · Muse Spark 1.1; 95% CI [-1.36365010, -0.10505611]; sessions 87115; observations 3236537; rank 34 |
| LMArena Document Arenadocument-2026-07-30-011508720696 · arena_rating · leader | 1,413.3296% of row best · rating · gemini-3-flash; 95% CI [1403.94387714, 1422.69054127]; votes 7173; rank 34 | 1,471.66100% of row best · rating · muse-spark-1.1; 95% CI [1458.80838072, 1484.51367096]; votes 2054; rank 13 |
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,442.4398% of row best · rating · gemini-3-flash (thinking-minimal); 95% CI [1439.33231151, 1445.53146062]; votes 85926; rank 58 | 1,479.03100% of row best · rating · muse-spark-1.1; 95% CI [1473.99485495, 1484.06002682]; votes 23768; rank 14 |
| LMArena Vision Arenavision-2026-08-27-011508720696 · arena_rating · leader | 1,265.4998% of row best · rating · gemini-3-flash (thinking-minimal); 95% CI [1259.90587715, 1271.06823217]; votes 34908; rank 37 | 1,292.67100% of row best · rating · muse-spark-1.1; 95% CI [1283.99834736, 1301.34176251]; votes 6769; rank 21 |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark wins | 4 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.
Technical Differences
Side-by-Side Facts
| Field | Gemini 3 Flash | Muse Spark 1.1 |
|---|---|---|
| Developer | Google Deepmind | Meta |
| Family | Gemini 3 | Muse Spark |
| Model | Gemini 3 Flash | Muse Spark 1.1 |
| Version | Gemini 3 Flash | Muse Spark 1.1 |
| Lifecycle | preview | preview |
| Released | Unknown | 2026-07-09 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Unknown | Text, Image, Video, Audio |
| Output modalities | Unknown | Text |
| Context window | 1,048,576 | 1,000,000 |
| 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 |
10 comparable fields · 6 material differences · Interactive comparison only; indexing gate not met
Gemini 3 Flash Capabilities
Muse Spark 1.1 Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
Muse Spark 1.1Meta | vs | Muse Spark 1.2Meta | family variantsaudio, image, text, video |
Muse Spark 1.1Meta | vs | InklingThinking Machines Lab | cross-developer peersaudio, image, text, video |
Seed 2.0 LiteByteDance Seed | vs | Muse Spark 1.1Meta | cross-developer peersaudio, image, text, video |
Gemma 4 E2BGoogle Deepmind | vs | Muse Spark 1.1Meta | cross-developer peersaudio, image, text, video |
Gemma 4 E4BGoogle Deepmind | vs | Muse Spark 1.1Meta | cross-developer peersaudio, image, text, video |
Muse Spark 1.1Meta | vs |  Phi-4-multimodal-instructMicrosoft | cross-developer peersaudio, image, text |
Muse Spark 1.1Meta | vs | Muse Glimmer 30BMeta | cross-developer peersimage, text |
| vs | Muse Spark 1.1Meta | cross-developer peersaudio, text | |
| vs | Muse Spark 1.1Meta | cross-developer peersaudio, text | |
Muse Spark 1.1Meta | vs | VibeVoice-ASR-Streaming-7BMicrosoft | cross-developer peersaudio, text |
Muse Spark 1.1Meta | vs | MAI-Transcribe 2Microsoft | cross-developer peersaudio, text |
Lyria 3.5Google Deepmind | vs | Muse Spark 1.1Meta | cross-developer peersaudio |
Primary Evidence
Sources and Freshness
Questions
Gemini 3 Flash vs Muse Spark 1.1 FAQs
Is Gemini 3 Flash or Muse Spark 1.1 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3 Flash and Muse Spark 1.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 3 Flash or Muse Spark 1.1?+
Only Gemini 3 Flash has a directly sourced input price: $0.50 per million tokens. Only Gemini 3 Flash has a directly sourced output price: $3.00 per million tokens.
Which has a larger context window, Gemini 3 Flash or Muse Spark 1.1?+
Gemini 3 Flash has the larger sourced context window. Gemini 3 Flash supports 1,048,576 and Muse Spark 1.1 supports 1,000,000.
Which performs better in benchmarks, Gemini 3 Flash or Muse Spark 1.1?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can Gemini 3 Flash or Muse Spark 1.1 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Gemini 3 Flash is not marked open weight; Muse Spark 1.1 is not marked open weight.
Can Gemini 3 Flash and Muse Spark 1.1 understand images?+
Gemini 3 Flash is not documented with image input; Muse Spark 1.1 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 3 Flash or Muse Spark 1.1?+
Neither has a larger sourced maximum output. Gemini 3 Flash is 65,536 and Muse Spark 1.1 is —.
Do Gemini 3 Flash and Muse Spark 1.1 support reasoning and tool use?+
Gemini 3 Flash: reasoning and tool calling. Muse Spark 1.1: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 3 Flash or Muse Spark 1.1?+
Gemini 3 Flash has 2 sourced provider routes; Muse Spark 1.1 has 0, so Gemini 3 Flash has broader tracked availability.
Which offers better value, Gemini 3 Flash or Muse Spark 1.1?+
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.