Gemini 3.5 Flash: Price, Context, Benchmarks, and Release Details
68.3
SI Score (method si-v3-retained-evidence-2)
#19 of 140 ranked
100% confidence 100 percent, Full confidence — 5 of 7 expected sources in
Coverage 81% of expected source weight · 100% confidence at 80% coverage
Pillar breakdown
Coding (weight 40 percent) 64.0
Math (weight 15 percent) 74.1
Preference (weight 15 percent) 80.0
Reasoning (weight 30 percent) 79.7
Pillar weights: reasoning 30% · math 15% · coding 40% · preference 15%. Benchmark results use fixed 0–100 scales before averaging; incomplete evidence is shrunk toward 50.
Facts
- Input price / 1M
- $1.50Google Gemini pricingOfficial paid Standard text rate, lowest short-context tier; current promotional price if dated; excludes free/Batch/Flex/audio
Retrieved Oct 9, 2026 · CC-BY-4.0 factual citation
Open source ↗ - Output price / 1M
- $9.00Google Gemini pricingOfficial paid Standard text rate, lowest short-context tier; current promotional price if dated; excludes free/Batch/Flex/audio
Retrieved Oct 9, 2026 · CC-BY-4.0 factual citation
Open source ↗ - Context window
- 1Mmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Max output
- 65.5Kmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Released
- May 19, 2026Google Gemini release notesPublished source fact
Retrieved Oct 9, 2026 · CC-BY-4.0 factual citation
Open source ↗ - Open weights
- Nomodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - License
- not yet reported
- Input modalities
- text, image, video, audio, pdfmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗
Benchmark results
34 results| Benchmark | Raw result | Normalized (0–100) | Pillar |
|---|---|---|---|
| arc agi 2 | 72.1%Official model cards via models.devLab-reported; metric accuracy; transcribed by MIT models.dev catalog; not independently evaluated [variant] Published May 19, 2026
Retrieved Oct 9, 2026 · factual citation; MIT transcription Open source ↗ | 72.1 | reasoning |
| arc agi v1 public eval | 96%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-3-5-flash-highPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 96.0 | reasoning |
| arc agi v1 semi private | 92.5%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-3-5-flash-highPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 92.5 | reasoning |
| arc agi v2 public eval | 72.1%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-3-5-flash-highPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 72.1 | reasoning |
| arc agi v2 semi private | 72.1%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-3-5-flash-highPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 72.1 | reasoning |
| frontiermath tier 4 v2 | 26.8%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] highPublished Jun 10, 2026
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 26.8 | math |
| frontiermath tiers 1 3 v2 | 62.8%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] highPublished Jun 10, 2026
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 62.8 | math |
| gpqa diamond | 92.8%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] highPublished May 22, 2026
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 92.8 | reasoning |
| gpqa diamond | 88.9%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] lowPublished Aug 6, 2026
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 88.9 | reasoning |
| gpqa diamond | 86.4%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] minimalPublished Jul 15, 2026
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 86.4 | reasoning |
| hle full set text mm | 40.2%Official model cards via models.devLab-reported; metric accuracy; transcribed by MIT models.dev catalog; not independently evaluated [variant] full set, text + MMPublished May 19, 2026
Retrieved Oct 9, 2026 · factual citation; MIT transcription Open source ↗ | 40.2 | reasoning |
| livebench coding code completion 2026_06_25 | 76.1%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 76.1 | coding |
| livebench coding code generation 2026_06_25 | 80.3%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 80.3 | coding |
| livebench coding javascript 2026_06_25 | 63.6%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 63.6 | coding |
| livebench coding python 2026_06_25 | 50%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 50.0 | coding |
| livebench coding typescript 2026_06_25 | 33.3%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 33.3 | coding |
| livebench math amps hard 2026_06_25 | 98%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 98.0 | math |
| livebench math integrals with game 2026_06_25 | 68%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 68.0 | math |
| livebench math math comp 2026_06_25 | 95.1%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 95.1 | math |
| livebench math olympiad 2026_06_25 | 91.9%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 91.9 | math |
| livebench math simplify 2026_06_25 | 69.1%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 69.1 | math |
| livebench reasoning connections 2026_06_25 | 100%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 100.0 | reasoning |
| livebench reasoning consecutive events 2026_06_25 | 48.0%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 48.0 | reasoning |
| livebench reasoning logic with navigation 2026_06_25 | 74%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 74.0 | reasoning |
| livebench reasoning spatial 2026_06_25 | 96%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 96.0 | reasoning |
| livebench reasoning theory of mind 2026_06_25 | 80.8%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 80.8 | reasoning |
| livebench reasoning zebra puzzle 2026_06_25 | 77.3%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code Open source ↗ | 77.3 | reasoning |
| lmarena text | 1477.7 eloLMArena / ArenaPublished source fact [variant] text / overallPublished Oct 2, 2026
Retrieved Oct 9, 2026 · CC-BY-4.0 Open source ↗ | 80.0 | preference |
| otis mock aime 2024 2025 | 95.6%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] highPublished May 25, 2026
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 95.6 | math |
| otis mock aime 2024 2025 | 88.9%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] lowPublished Aug 6, 2026
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 88.9 | math |
| otis mock aime 2024 2025 | 80%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] minimalPublished Jul 15, 2026
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 80.0 | math |
| swe bench pro public | 55.1%Official model cards via models.devLab-reported; metric resolve rate; transcribed by MIT models.dev catalog; not independently evaluated [variant] single attempt; publicPublished May 19, 2026
Retrieved Oct 9, 2026 · factual citation; MIT transcription Open source ↗ | 55.1 | coding |
| swe bench verified | 79.3%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] highPublished Jun 1, 2026
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 79.3 | coding |
| terminal bench v2 1 | 76.2%Official model cards via models.devLab-reported; metric success rate; transcribed by MIT models.dev catalog; not independently evaluated [variant] Terminus-2; 2.1Published May 19, 2026
Retrieved Oct 9, 2026 · factual citation; MIT transcription Open source ↗ | 76.2 | coding |
Normalization uses fixed absolute 0–100 scales for each unit, independently of other models that have a result on each benchmark. Coverage and evidence breadth still affect the composite; compare the evaluation conditions before reading a small score gap as decisive. “lab-reported” marks the provider's own published figure.
Sources: in and pending
in Reported (5)
- ARC Prize · arrived Oct 8, 2026
- Epoch AI Benchmarking · arrived Oct 8, 2026
- Official model cards via models.dev · arrived Oct 8, 2026
- LiveBench · arrived Oct 8, 2026
- LMArena / Arena · arrived Oct 8, 2026
pending Awaiting (2)
- Humanity’s Last Exam · carries 13% of expected weight
- Terminal-Bench · carries 6% of expected weight
The confidence % rises as pending sources publish. Some sources never cover some models — that is why 100% confidence arrives at 80% of expected weight, not at full coverage.