Google, released Aug 18, 2025

Gemini 2.0 Flashprice, context, benchmarks and release details

Provisional: not enough results to rank yet 28% confidence 28 percent, Low confidence, 2 of 8 expected sources in
40.6
SI Score
Not ranked yet
Input, per 1M tokens
not yet reported
Output, per 1M tokens
not yet reported
Context window
1Mmodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗
Max output
8.2Kmodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗
Released
Aug 18, 2025Google Gemini release notesPublished source fact Retrieved Oct 9, 2026 · CC-BY-4.0 factual citation
Open source ↗

How the score breaks down

Coding (weight 40 percent) 13.5
Math (weight 15 percent) —
Preference (weight 15 percent) —
Reasoning (weight 30 percent) 1.3

Weights: reasoning 30%, math 15%, coding 40%, preference 15%. Results use fixed 0–100 scales before averaging, and thin evidence is pulled toward 50. Method si-v3-retained-evidence-2, computed Oct 9, 2026, 06:15 UTC.

Around it on the leaderboard

  1. 1 Claude Fable 5.1 80.2
  2. 2 Claude Opus 5.5 78.4
  3. 3 GPT-6 Astra 77.5
  4. 4 Claude Fable 5 76.8
  5. 5 Claude Opus 5 74.9

Full leaderboard

Benchmark results

2 benchmarks, 2 results

Each row shows the best published result. Where a model was tested at several settings, such as reasoning effort, open the row to see each one. Hover or tap a value for its source.

ARC-AGI-2 (semi-private)reasoning 1.3%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] Gemini 2.0 FlashPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
Open source ↗
1.3
SWE-bench Verifiedcoding 13.5%SWE-bench VerifiedSWE-bench published model plus agent result; harness retained, not a base model evaluation [variant] mini-SWE-agent; 0.0.0Published Jul 26, 2025 Retrieved Oct 9, 2026 · factual citation
Open source ↗
13.5

Normalization uses a fixed 0–100 scale for each unit, independent of other models. Compare evaluation conditions before reading a small gap as decisive. “Lab-reported” marks the provider's own published figure.

Details and sources

Open weights
Nomodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗
License
not yet reported
Input modalities
text, image, audio, video, pdfmodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗
First seen by SuperIndex
Oct 8, 2026
Coverage
23% of expected source weight

Reported (2)

  • ARC PrizeOct 8, 2026
  • SWE-bench VerifiedOct 8, 2026

Awaiting (6)

  • Epoch AI Benchmarking23% of weight
  • Humanity’s Last Exam11% of weight
  • Official model cards via models.dev4% of weight
  • LiveBench11% of weight
  • LMArena / Arena23% of weight
  • Terminal-Bench6% of weight

Confidence rises as pending sources publish. Some sources never cover some models, so confidence reaches 100% at 80% of expected weight.

What changed

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