BenchLeader

Gemini 3.8 Flash vs Muse Wonder

As of 13 Oct 2026, Muse Wonder (max) leads on quality (66.3 vs 64.5 on the BenchLeader Index), but Gemini 3.8 Flash (medium) costs 5.3× less, so it is the better buy unless you need the extra quality.

Key differences

  • Muse Wonder (max) leads on quality: 66.3 vs 64.5.
  • Gemini 3.8 Flash (medium) is stronger in agents & tools, coding, knowledge, long context, multimodal.
  • Muse Wonder (max) is stronger in composite, reasoning.
  • Gemini 3.8 Flash (medium) is 5.3× cheaper ($1.50 vs $8.00 per 1M blended).

Choose Gemini 3.8 Flash (medium) if

  • long context is the priority (67 vs 66 on the category score)
  • knowledge is the priority (74 vs 73 on the category score)
  • cost matters: $1.50 against $8.00 per million tokens blended
  • the wait for the first word matters: 2.5 s against 60.8 s to first answer

Choose Muse Wonder (max) if

  • reasoning is the priority (88 vs 63 on the category score)

Category by category

Category scores on the BenchLeader scale: 50 is the average evaluated model, 15 points is one standard deviation. A gap under one point is called level.

CategoryGemini 3.8 Flash (medium)Muse Wonder (max)Leader
Reasoning63.187.8Muse Wonder
Coding57.9–not comparable
Agents & tools75.1–not comparable
Knowledge74.473.0Gemini 3.8 Flash
Multimodal67.5–not comparable
Long context67.265.5Gemini 3.8 Flash
Composite74.278.2Muse Wonder

Price, speed and latency

List prices blended at three input tokens per output token. Per-task prices use the token counts on the methodology page; suite cost is what Artificial Analysis paid to run its whole Intelligence Index.

MeasureGemini 3.8 Flash (medium)Muse Wonder (max)
Blended price per 1M tokens$1.50$8.00
Input / output per 1M$0.750 / $3.75$4.00 / $20.00
Price per task: chat reply$0.0014$0.0076
Price per task: summarise a 30-page report$0.011$0.060
Price per task: code edit$0.010$0.054
Price per task: agentic coding session$0.060$0.320
Price per task: structured extraction$0.0023$0.012
Cost to run a full benchmark suite$0.931$4.52
Output speed76 tok/s85 tok/s
Time to first answer2.5 s60.8 s
Time to a complete answer–66.7 s

Every benchmark

MetricGemini 3.8 Flash (medium)Muse Wonder (max)
BenchLeader Index64.566.3
Agents & tools score75.1–
Coding score57.9–
Composite score74.278.2
Knowledge score74.473.0
Long context score67.265.5
Multimodal score67.5–
Reasoning score63.187.8
Blended price $/M$1.50$8.00
Output speed76 tok/s85 tok/s
Time to first answer2.5 s60.8 s
Context window1.0M1.0M
SciCode54.4%–
FrontierCode41.2%–
LiveBench–81.2%
LiveBench Reasoning–90.6%
LiveBench Coding–80.7%
LiveBench Agentic Coding–62.7%
LiveBench Mathematics–96.5%
LiveBench Data Analysis–81.6%
LiveBench Language–82.9%
LiveBench Instruction Following–73.0%
AA Intelligence Index v4.3.239.852.4
AA-LCR84.0%80.7%
MMMU-Pro84.2%–
AA-Omniscience28.625.5
GPQA Diamond (AA)93.5%–
Humanity's Last Exam (AA)42.1%50.1%
SciCode (AA)55.1%60.3%
ARC-AGI-197.5%–
ARC-AGI-282.9%–
ARC-AGI-324.2%–
CritPt12.3%28.3%
GDPval-AA v2.146.1%63.5%
τ³-Banking (AA)45.8%–
DeepSWE v1.171.0%–
LMCA52.9%–
DTBench94.9%–
CursorBench37.3%–
GDP.pdf23.4%–
Terminal-Bench 4.0 (AA)19.7%52.0%
Terminal-Bench 2.1 (AA)83.9%–
AutomationBench–68.1%
GDP.pdf–30.6%
AA-Omniscience: accuracy53.0%41.1%
AA-Omniscience: non-hallucination48.1%73.5%
AA-Briefcase v1.1–1659

Data as of 2026-10-13. Best configuration of each model; every score links to its source on the model pages.

Gemini 3.8 Flash vs Muse Wonder: questions

Is Gemini 3.8 Flash better than Muse Wonder?
Muse Wonder (max) leads on quality: 66.3 vs 64.5. The BenchLeader Index combines every independent quality benchmark; Muse Wonder (max) is ahead overall as of 2026-10-13, but check the category scores for your use.
Which is cheaper, Gemini 3.8 Flash or Muse Wonder?
Gemini 3.8 Flash is cheaper: $1.50 against $8.00 per million tokens, blended at three input tokens per output token.
Which is faster, Gemini 3.8 Flash or Muse Wonder?
Muse Wonder streams faster: 85 against 76 output tokens per second.
Which has the larger context window?
Both accept 1.0M tokens of context.