gemini-2.0-flash-exp: benchmark scores, price and ranking
gemini-2.0-flash-exp from Google DeepMind,Google ranks #431 of 743 LLMs on the LLMs Tiger aggregate benchmark score (47.5), based on 3 benchmark results captured up to 2026-10-13.
- Organisation
- Google DeepMind,Google
- Type
- Preview release
- Open weights
- No
- Aggregate rank
- #431 of 743 (score 47.5)
Relative to other models, gemini-2.0-flash-exp is strongest on Aider Code Editing (#16 of 92) and weakest on SimpleBench (#58 of 61).
Across the 3 benchmarks where at least ten models are scored, gemini-2.0-flash-exp is in the top 10% on 0 and in the top half on 1.
gemini-2.0-flash-exp benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| Aider Code Editing | 69.9% | #16 of 92 | Aider Aider Code Editing leaderboard | 2026-10-13 |
| Aider Polyglot | 22.2% | #35 of 49 | Aider polyglot leaderboard | 2026-10-13 |
| SimpleBench | 18.9% | #58 of 61 | Epoch AI Benchmarking Hub | 2026-10-13 |
About gemini-2.0-flash-exp
gemini-2.0-flash-exp is a preview release from Google DeepMind,Google. No API price is listed for it yet. We hold 3 benchmark results for it across 2 areas, and none is in the top tenth of its board.
Where gemini-2.0-flash-exp stands
On our aggregate score, gemini-2.0-flash-exp is #431 of 743 ranked models, around the middle of the table. Its score is 47.5; the scale is centred on 50, so it sits 2.5 points below the typical model. That beats 42% of the ranked field. Among the 5 ranked Google DeepMind,Google models it is #3. The next one up is gemini-2.0-flash-02-05 at 48.3. The next one down is Gemini 2.0 Flash (Feb 2025) at 46.1.
gemini-2.0-flash-exp, benchmark by benchmark
Aider Code Editing puts gemini-2.0-flash-exp at 69.9%, #16 of 92. That beats 83% of the models tested, but 14.3 points short of Claude 3.5-Sonnet-20241022 (84.2%). The results either side are DeepSeek Chat V2 0628 (69.9%) and Qwen2.5-Coder-14B-Instruct (69.2%). It covers Aider official benchmark. The board median is 55.6%, so gemini-2.0-flash-exp is 14.3 points above it. Source: Aider Aider Code Editing leaderboard, captured 2026-10-13.
gemini-2.0-flash-exp lands below the middle on Aider Polyglot: 22.2%, #35 of 49, with 69% of the field scoring higher. gemini-2.5-pro-preview-06-05 leads at 83.1%; the closest result above is gpt-4o-2024-08-06 at 23.1%. It covers edits across 6 languages (225 exercises). The board median is 44.9%, so gemini-2.0-flash-exp is 22.7 points below it. Source: Aider polyglot leaderboard, captured 2026-10-13.
SimpleBench is a weak spot. gemini-2.0-flash-exp scores 18.9%, #58 of 61, behind 93% of the models measured. The leader, Claude Fable 5 (max), reaches 81.9%. It covers trick questions that test common sense. The board median is 41.4%, so gemini-2.0-flash-exp is 22.5 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Strengths and weaknesses
Software engineering: solid, ahead of 56% of the field on average across 2 benchmarks. Its best board here is Aider Code Editing (#16 of 92) and its weakest is Aider Polyglot (#35 of 49).
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
- #428 GPT-4.5 (47.5)
- #429 yi-coder:9b-chat-q4_0 (47.5)
- #430 Llama 3.1-70B (47.5)
- #432 Gemma 4 26B A4B (47.5)
- #433 GPT-5.1 (Thinking, None) (47.5)
- #434 Claude 3.7 (47.4)
More from Google DeepMind,Google
- gemini-exp-1206 (#176, 50.6)
- gemini-2.0-flash-02-05 (#365, 48.3)
- 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