Gemini 3.5 Flash

GoogleLegacy

Input price
—
Per 1 million tokens (USD)
Output price
—
Per 1 million tokens (USD)
Effort levels
not collected
Benchmark results
7total
Benchmark types: 7

Model information

API model ID
gemini-3.5-flash
release date
2026-05-19
effort
not collected
Effort source
Not collected: the Gemini API model page (aistudio.google.com/docs/models/gemini-3.5-flash) only says Thinking is Supported, with no list of levels, and it is absent from the table in the thinking documentation (discontinued; API automatically redirects to gemini-3.6-flash).
Claude Code
unavailable
Codex
unavailable
Availability notes
Both are false because the model appears in neither the Claude Code official model list (code.claude.com/docs/en/model-config alias table, retrieved 2026-11-13; original: the table for "Use a model alias to select model settings without remembering exact version numbers" contains only Anthropic models such as fable, sonnet, opus, and haiku) nor the Codex official model list (learn.chatgpt.com/docs/models, retrieved 2026-11-13; original: "Recommended models" contains only the GPT-6 series) (connections via a custom provider are not counted as official options, and connections via a gateway are not counted as official options).
Availability source
https://code.claude.com/docs/en/model-config

Price (USD per 1 million tokens)

Prices do not vary by effort; token consumption does.

input—
output—
cache read—
cache write—

Discontinued (API redirected to gemini-3.6-flash). Not collected.

Benchmark results

BenchmarkeffortScoreSource cost (metric)measured/reported bysourceConditions and extraction method
Terminal-Bench 2.1not statednot stated76.2%—GoogleGemini 3.5 Flash model cardofficial · Retrieved 2026-11-13Vendor-reported value. Table in the Google model card. methodology PDF (deepmind.google/models/evals-methodology/gemini-3-5-flash): All of the results are all run with the Gemini API ... with default sampling settings unless indicated otherwise. 3.5 Flash and 3 Flash computed in-house with the Terminus 2 harness (3.1 Pro is not used because its value is from the leaderboard). thinking level not statedtranscribed from table
Source excerptCoding | Terminal-bench 2.1 Agentic terminal coding | Terminus-2 harness | 76.2%Location Gemini 3.5 Flash model card Evaluation table, Terminal-bench 2.1 row, Gemini 3.5 Flash column. In-house computation basis: methodology PDF, Coding / Terminal-Bench 2.1
CharXiv Reasoningnot statednot stated84.2%—GoogleGemini 3.5 Flash model cardofficial · Retrieved 2026-11-13Vendor-reported value. Table in the Google model card. methodology PDF (deepmind.google/models/evals-methodology/gemini-3-5-flash): All of the results are all run with the Gemini API ... with default sampling settings unless indicated otherwise. Gemini computed in-house; without tools. thinking level not statedtranscribed from table
Source excerptMultimodal | CharXiv Reasoning Information synthesis from complex charts | No tools | 84.2%Location Gemini 3.5 Flash model card Evaluation table, CharXiv Reasoning(No tools) row, Gemini 3.5 Flash column. In-house computation basis: methodology PDF, Image / CharXiv Reasoning
SWE-Bench Pronot statednot stated55.1%—GoogleGemini 3.5 Flash model cardofficial · Retrieved 2026-11-13Vendor-reported value. Table in the Google model card. methodology PDF (deepmind.google/models/evals-methodology/gemini-3-5-flash): All of the results are all run with the Gemini API ... with default sampling settings unless indicated otherwise. Gemini computed in-house; average of 5 runs; internal version of the Antigravity harness; single trial. thinking level not statedtranscribed from table
Source excerptSWE-Bench Pro (Public) Diverse agentic coding tasks | Single attempt | 55.1%Location Gemini 3.5 Flash model card Evaluation table, SWE-Bench Pro (Public) row, Gemini 3.5 Flash column. In-house computation basis: methodology PDF, Coding / SWE-Bench Pro
OSWorld-Verifiednot statednot stated78.4%—GoogleGemini 3.5 Flash model cardofficial · Retrieved 2026-11-13Vendor-reported value. Table in the Google model card. methodology PDF (deepmind.google/models/evals-methodology/gemini-3-5-flash): All of the results are all run with the Gemini API ... with default sampling settings unless indicated otherwise. Gemini computed in-house; average of 5 runs (1 trial each); up to 100 steps. thinking level not statedtranscribed from table
Source excerptUI Control | OSWorld-Verified Agentic computer use | 78.4%Location Gemini 3.5 Flash model card Evaluation table, OSWorld-Verified row, Gemini 3.5 Flash column. In-house computation basis: methodology PDF, UI Control / OSWorld-Verified
MMMU-Pronot statednot stated83.6%—GoogleGemini 3.5 Flash model cardofficial · Retrieved 2026-11-13Vendor-reported value. Table in the Google model card. methodology PDF (deepmind.google/models/evals-methodology/gemini-3-5-flash): All of the results are all run with the Gemini API ... with default sampling settings unless indicated otherwise. Gemini computed in-house; average of Standard (10 choices) and Vision; without tools. thinking level not statedtranscribed from table
Source excerptMMMU-Pro Multimodal understanding and reasoning | No tools | 83.6%Location Gemini 3.5 Flash model card Evaluation table, MMMU-Pro(No tools) row, Gemini 3.5 Flash column. In-house computation basis: methodology PDF, Image / MMMU-Pro
MRCR v2 (8-needle, 128k)not statednot stated77.3%—GoogleGemini 3.5 Flash model cardofficial · Retrieved 2026-11-13Vendor-reported value. Table in the Google model card. methodology PDF (deepmind.google/models/evals-methodology/gemini-3-5-flash): All of the results are all run with the Gemini API ... with default sampling settings unless indicated otherwise. All models computed in-house; cumulative score up to 128k. thinking level not statedtranscribed from table
Source excerptLong context | MRCR v2 (8-needle) Long context performance | 128k (average) | 77.3%Location Gemini 3.5 Flash model card Evaluation table, MRCR v2 (8-needle) 128k (average) row, Gemini 3.5 Flash column. In-house computation basis: methodology PDF, Long Context / MRCR v2
MRCR v2 (8-needle, 1M)not statednot stated26.6%—GoogleGemini 3.5 Flash model cardofficial · Retrieved 2026-11-13Vendor-reported value. Table in the Google model card. methodology PDF (deepmind.google/models/evals-methodology/gemini-3-5-flash): All of the results are all run with the Gemini API ... with default sampling settings unless indicated otherwise. All models computed in-house; pointwise value at 1M. thinking level not statedtranscribed from table
Source excerpt1M (pointwise) | 26.6%Location Gemini 3.5 Flash model card Evaluation table, MRCR v2 (8-needle) 1M (pointwise) row, Gemini 3.5 Flash column. In-house computation basis: methodology PDF, Long Context / MRCR v2

Related rankings

References