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Gemini 1206

Gemini 1206 is a Google proprietary model, released 6 Dec 2024. It is not yet ranked: 2 independent results so far, and the index needs at least five across two categories. At $0.850 per million tokens blended it is mid-priced. Last measured 22 Dec 2024.stale: no new result in six months

Blended price
$0.850/M
$0.300 in · $2.50 out
Output speed
First answer
Context
2.1M
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Reasoning36
  2. Coding45

Benchmark results

One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Reasoning

BenchmarkdefaultSource
SimpleBench31.1%#67SimpleBench

Coding

BenchmarkdefaultSource
Aider Polyglot38.2%#30Aider polyglot leaderboard

What a task costs

Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.0009
Summarise a 30-page report12,000 / 600$0.0051
Code edit6,000 / 1,500$0.0056
Agentic coding session60,000 / 4,000$0.028
Structured extraction2,000 / 200$0.0011

See also

Data as of 10 Sept 2026. Compare with another model.