Compare / Gemini 3.5 Flash vs Muse Wonder
Gemini 3.5 Flash vs Muse Wonder
Which is cheaper, which is more capable, and which does better at each kind of work, from 10 results on 2 sources that measured both models.
Of the 10 results both models have, the better value on each. Results whose reported ranges overlap are too close to call.
Results as of 14 October 2026 (catalogue release 2026-10-14-7d7cf32c3f6d). See also Google vs Meta, every model from both labs.
Gemini 3.5 Flash or Muse Wonder? The short answer
Pick Muse Wonder if quality matters most: it scores higher (Intelligence Index 52.4 against 33.6). Pick Gemini 3.5 Flash if cost matters more: it costs 2.3 times less per game of bullet chess on BulletBench.
- Gemini 3.5 Flash is cheaper to run: $0.029 against $0.066 per game of bullet chess on BulletBench (2.3 times less).
- Muse Wonder scores higher on the Artificial Analysis Intelligence Index: 52.4 against 33.6.
- Muse Wonder is newer: released 12 Oct 2026, against 19 May 2026 for Gemini 3.5 Flash.
- On third-party benchmarks, on the results both models have: Muse Wonder does better for agents and tool use and reasoning and knowledge.
Head to head
Every fact side by side
| Gemini 3.5 Flash | Muse Wonder | |
|---|---|---|
| Price per million tokens | $1.50 in · $9.00 out | $4.00 in · $20.00 out |
| Blended (3 in : 1 out) | $3.38 | $8.00 |
| Cheapest host, blended | $3.38 (Google) | – |
| Cost per game of bullet chess (BulletBench) | $0.029 | $0.066 |
| Cached input, per million | $0.15 cached input | $0.20 cached input |
| Intelligence Index | 33.6 | 52.4 |
| Spring Prompt overall | – | 71 |
| Output speed, tokens a second | – | 117 |
| Context window | 1,048,576 tokens | 1,048,576 tokens |
| Released | 19 May 2026 | 12 Oct 2026 (newer) |
| Weights | Closed | Closed |
| Developer based in | the US | the US |
Prices are the developer's list price where we have read it, otherwise the typical host on OpenRouter; see every model's price. Intelligence and speed from Artificial Analysis.
Which is better for what
Each model's rank among the models on sale today, for each kind of work, from our own benchmarks and licensed sources. Further right is better; the better rank is in green.
From our research
Every shared result
Each model's best result on every measure both have, grouped by benchmark, with the setting that produced it. Under each measure, every model that benchmark has measured is a grey tick, best to the right, so you can see where the two sit in the field. The headline measures of each benchmark come first; the rest are under "Show all". Green marks the better value; where a source reports ranges that overlap, neither is marked.
| Measure | Gemini 3.5 Flash | Muse Wonder |
|---|---|---|
| BulletBench measured by Spring Prompt · 3 results | ||
| Cost per game · Bullet 60sUS dollars, lower is better 24 · 29 of 30 measured | $0.0289minimal reasoning | $0.0663minimal reasoning |
| Ladder Elo · Bullet 60sladder Elo, higher is better 4 · 19 of 30 measured | 810minimal reasoning | 409minimal reasoning |
| Games lost on time · Bullet 60s% of games, lower is better 13 · 23 of 30 measured | 25.0%minimal reasoning | 58.3%minimal reasoning |
| Artificial Analysis reported by Artificial Analysis · 3 results | ||
| Artificial Analysis Intelligence Indexindex score, higher is better 46 · 6 of 244 measured | 33.6medium reasoning | 52.4max reasoning |
| Humanity's Last Exam% of questions, higher is better 29 · 9 of 243 measured | 42.7%high reasoning | 50.1%max reasoning |
| Terminal-Bench 4.0% of tasks, higher is better 43 · 7 of 113 measured | 6.6%high reasoning | 52.0%max reasoning |
Show all 10 results (4 more)
| Measure | Gemini 3.5 Flash | Muse Wonder |
|---|---|---|
| BulletBench measured by Spring Prompt · 2 results | ||
| Invalid moves · Bullet 60s% of moves, lower is better 27 · 1 of 30 measured | 0.5%minimal reasoning | 0.0%minimal reasoning |
| Median move time · Bullet 60smilliseconds, lower is better 16 · 25 of 30 measured | 1.2 sminimal reasoning | 1.9 sminimal reasoning |
| Artificial Analysis reported by Artificial Analysis · 2 results | ||
| Long-context reasoning (AA-LCR)% of questions, higher is better 83 · 33 of 234 measured | 74.3%medium reasoning | 80.7%max reasoning |
| SciCode% of problems, higher is better 32 · 7 of 114 measured | 53.9%high reasoning | 60.3%max reasoning |
Compare them with other models
- Google vs MetaEvery model from both labs, best against best
- Gemini 3.5 Flash vs Claude Opus 5.5Most intelligent at $3–10 per million tokens
- Gemini 3.5 Flash vs Gemini 4 ArgonGoogle's best other model
- Gemini 3.5 Flash vs GPT-6.1 SolNear the top overall
- Muse Wonder vs Claude Opus 5.5Most intelligent at $3–10 per million tokens
- Muse Wonder vs Claude Sonnet 5.5Cheapest with similar intelligence
- Muse Wonder vs Gemini 4 ArgonJust above overall
- Muse Wonder vs GPT-6 SolJust below overall
Quick answers
Is Gemini 3.5 Flash better than Muse Wonder?
Pick Muse Wonder if quality matters most: it scores higher (Intelligence Index 52.4 against 33.6). Pick Gemini 3.5 Flash if cost matters more: it costs 2.3 times less per game of bullet chess on BulletBench.
Which is cheaper, Gemini 3.5 Flash or Muse Wonder?
Gemini 3.5 Flash is cheaper to run: $0.029 against $0.066 per game of bullet chess on BulletBench (2.3 times less).
Which is better for agents and tool use, Gemini 3.5 Flash or Muse Wonder?
Muse Wonder ranks 8 of 166 models on sale for multi-step tasks with tools: support desks, coding agents, function calls, against 45 for Gemini 3.5 Flash.
Which is better for reasoning and knowledge, Gemini 3.5 Flash or Muse Wonder?
Muse Wonder ranks 7 of 200 models on sale for hard questions across science, maths and general knowledge, against 34 for Gemini 3.5 Flash.
Which is better for speed under pressure, Gemini 3.5 Flash or Muse Wonder?
Gemini 3.5 Flash ranks 4 of 25 models on sale for good decisions against a real clock (fast chess), against 12 for Muse Wonder.
Run Gemini 3.5 Flash and Muse Wonder on your own prompt
Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.