gemini-exp-1206: benchmark scores, price and ranking
gemini-exp-1206 from Google DeepMind,Google ranks #176 of 743 LLMs on the LLMs Tiger aggregate benchmark score (50.6), based on 3 benchmark results captured up to 2026-10-13.
- Organisation
- Google DeepMind,Google
- Type
- Preview release
- Open weights
- No
- Context window
- 1,048,576 tokens
- Cheapest API price
- $0.300 in / $2.50 out per million tokens (via gemini, observed 2026-10-13T20:47Z)
- Aggregate rank
- #176 of 743 (score 50.6)
Relative to other models, gemini-exp-1206 is strongest on Aider Code Editing (#2 of 92) and weakest on SimpleBench (#40 of 61).
Across the 3 benchmarks where at least ten models are scored, gemini-exp-1206 is in the top 10% on 1 and in the top half on 1.
Its cheapest listed input price, $0.300 per million tokens, is lower than that of 58% of the 427 models with a listed price.
gemini-exp-1206 benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| Aider Code Editing | 80.5% | #2 of 92 | Aider Aider Code Editing leaderboard | 2026-10-13 |
| Aider Polyglot | 38.2% | #27 of 49 | Aider polyglot leaderboard | 2026-10-13 |
| SimpleBench | 31.1% | #40 of 61 | Epoch AI Benchmarking Hub | 2026-10-13 |
About gemini-exp-1206
gemini-exp-1206 is a preview release from Google DeepMind,Google. It accepts up to 1,048,576 tokens of input at once. The cheapest API listing we track charges $0.300 per million input tokens and $2.50 per million output tokens, through gemini. We hold 3 benchmark results for it across 2 areas, and 1 is in the top tenth of its board.
Where gemini-exp-1206 stands
On our aggregate score, gemini-exp-1206 is #176 of 743 ranked models, in the top quarter. Its score is 50.6; the scale is centred on 50, so it sits 0.6 points above the typical model. That beats 76% of the ranked field. Among the 5 ranked Google DeepMind,Google models it is #1. The next one down is gemini-2.0-flash-02-05 at 48.3.
gemini-exp-1206, benchmark by benchmark
On Aider Code Editing, gemini-exp-1206 scores 80.5% and ranks #2 of 92. Only one model scores higher, led by Claude 3.5-Sonnet-20241022 at 84.2%, which is 3.7 points ahead. It covers Aider official benchmark. The board median is 55.6%, so gemini-exp-1206 is 24.9 points above it. Source: Aider Aider Code Editing leaderboard, captured 2026-10-13.
gemini-exp-1206 lands below the middle on Aider Polyglot: 38.2%, #27 of 49, with 53% of the field scoring higher. gemini-2.5-pro-preview-06-05 leads at 83.1%; the closest result above is Qwen3-32B at 40.0%. It covers edits across 6 languages (225 exercises). The board median is 44.9%, so gemini-exp-1206 is 6.7 points below it. Source: Aider polyglot leaderboard, captured 2026-10-13.
gemini-exp-1206 lands below the middle on SimpleBench: 31.1%, #40 of 61, with 64% of the field scoring higher. Claude Fable 5 (max) leads at 81.9%; the closest result above is GPT-4.5 Preview (Feb 2025) at 34.5%. It covers trick questions that test common sense. The board median is 41.4%, so gemini-exp-1206 is 10.3 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Strengths and weaknesses
Software engineering: solid, ahead of 71% of the field on average across 2 benchmarks. Its best board here is Aider Code Editing (#2 of 92) and its weakest is Aider Polyglot (#27 of 49).
Price and value
The median input price across the 427 priced models is $0.500 per million tokens, so gemini-exp-1206 costs less than the typical listing. Models that score within 1.5 points or better and cost less: Qwen2.5-Coder-7B-Instruct ($0.010, 49.5), DeepSeek V4 Flash 0731 (max) ($0.016, 53.1), GLM-5.3-Flash (max) ($0.026, 49.6). Similar scores cost more on qwen-2.5-72b-instruct ($0.380) and GLM-4.7-FP8 ($0.400).
Reading these numbers
The 3 scores on this page come from 3 sources: Aider Aider Code Editing leaderboard (1), Aider polyglot leaderboard (1), Epoch AI Benchmarking Hub (1). 2 of them come from an official leaderboard and 1 from datasets or third-party runs. With 3 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #173 Kimi K2.5 (50.7)
- #174 openrouter/qwen/qwen-2.5-coder-32b-instruct (50.7)
- #175 qwen-2.5-72b-instruct (50.7)
- #177 MiniMax-Text-01 (50.6)
- #178 Claude Sonnet 4.5 (59k thinking) (50.6)
- #179 chatgpt-4o-01-29-2025 (50.6)
More from Google DeepMind,Google
- gemini-2.0-flash-02-05 (#365, 48.3)
- gemini-2.0-flash-exp (#431, 47.5)
- Gemini 2.0 Flash (Feb 2025) (#537, 46.1)
- Gemini 2.0 Flash Thinking Exp (#549, 45.9)
Compare it on the live leaderboard → · How the aggregate score works