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Google · released 2026-07-21

Gemini 3.6 Flash

Measured on 145 benchmarks.

20.8

#47 of 94 models · best at high

includes estimates: 35% of the mix is measured for this model

Strengths

  • Gemini 3.6 Flash
  • Gemini 4 Carbon (#1)
  • Field median
bestField medianFrontierCode 2.0-…Terminal-Bench v4…AA-Briefcase v1.1AutomationBench-AATerminal-Bench-Sc…HLE-DiamondCritPt v2 Hard Su…AA-Omniscience v1…AA-Omniscience v1…GDP.pdf
  1. FrontierCode 2.0-AA15%11.4% est.#50 of 94
  2. Terminal-Bench v4-AA10%7.1%#47 of 94
  3. AA-Briefcase v1.115%956#63 of 94
  4. AutomationBench-AA5%53.0%#40 of 94
  5. Terminal-Bench-Science-AA15%3.9% est.#43 of 94
  6. HLE-Diamond10%20.5% est.#33 of 94
  7. CritPt v2 Hard Subset10%27.9% est.#40 of 94
  8. AA-Omniscience v1.1 Accuracy10%40.8% est.#29 of 94
  9. AA-Omniscience v1.1 Non-hallucination5%39.6% est.#66 of 94
  10. GDP.pdf5%17.4%#34 of 94

Bars show where Gemini 3.6 Flash sits among the 94 ranked models on each benchmark (right is best); the tick is the field median.

Cost and speed

against 94 ranked models

Output speed

#17 fastest of 74

194 tok/sat high

Time to first token

#51 quickest of 74

16sat high

Token price

$0.255 per 1M tokens at API prices$0.0080 on Google AI Pro

85.0% cache read · 14.5% fresh input · 0.00% cache write · 0.50% output

Assumed mix: no measured T3 Code usage for this model.

Not measured for Gemini 3.6 Flash: cost per task, time per task, output tokens per task (no published API price yet).

This ranking’s benchmarks

4 of 10 measured

agentic

AutomationBench-AA

241 results
  1. #81high of 24153.0%

Leader: Gemini 4 Carbon · 77.8%

agentic

AA-Briefcase v1.1

247 results
  1. #146high of 247956

Leader: Sonnet 5.5 · 1814

economics

GDP.pdf

240 results
  1. #93high of 24017.4%

Leader: Muse Wonder Full · 32.6%

coding

Terminal-Bench v4-AA

238 results
  1. #111high of 2387.1%

Leader: Kimi K3.1 · 67.2%

All 145 benchmarks

show 141 more