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Google DeepMind · launched 2 Sept 2026

Gemini 3.8 Flash

Google's latest stable Flash model for long-horizon software engineering, autonomous agents and complex enterprise workflows.

Read the official announcement
Model details
Vendor
Google DeepMind
Launch date
2 Sept 2026
Input price
$0.75 / 1M tokens
Output price
$3.75 / 1M tokens
Cached input
$0.075 / 1M tokens
Batch discount
50%
Context window
1.05M tokens
Max output
66K tokens
Input types
Text, Image, Video, Audio, PDF
API model ID
gemini-3.8-flash

Introductory rates through 31 December 2026. From 1 January 2027, input is $1.50, output $7.50 and cached input $0.15 per million tokens. Cache storage and grounding are billed separately.

Official pricing source · checked 8 Oct 2026

Official model specifications

Price compared with other models

ModelLaunchedInput / 1MOutput / 1MCached / 1MBlended / 1Mvs Gemini 3.8 Flash
Claude Haiku 5.5AnthropicListed prices and comparisons apply to prompts up to 100K tokens. Above 100K, input costs $0.50, output $2.50 and cache reads $0.05 per million tokens.7 Oct 2026$0.10$0.50$0.01$0.2087% cheaper
GPT-6 LunaOpenAI22 Sept 2026$0.10$0.50$0.01$0.2087% cheaper
GPT-5.6 LunaOpenAI9 Jul 2026$0.20$1.20$0.02$0.4570% cheaper
Gemini 3.5 Flash-LiteGoogle DeepMindText, image, video and audio inputs share the listed rate. Cache storage and grounding are billed separately.21 Jul 2026$0.30$2.50$0.03$0.8543% cheaper
Gemini 3.8 FlashGoogle DeepMindIntroductory rates through 31 December 2026. From 1 January 2027, input is $1.50, output $7.50 and cached input $0.15 per million tokens. Cache storage and grounding are billed separately.2 Sept 2026$0.75$3.75$0.075$1.50Baseline
Claude Haiku 4.5Anthropic15 Oct 2025$1.00$5.00$0.10$2.0033% more
Grok 4.7SpaceXAIBase rates apply up to 200K context tokens; higher-context requests use different rates. Batch API is not supported. The separate fast variant costs twice as much.21 Sept 2026$2.00$6.00$0.50$3.002× the price
Claude Sonnet 5Anthropic30 Jun 2026$2.00$10$0.20$4.002.7× the price
Claude Sonnet 5.5AnthropicCache reads were reduced from $0.20 to $0.10 per million tokens on 7 October 2026.28 Sept 2026$2.00$10$0.10$4.002.7× the price
Gemini 4 ArgonGoogle DeepMind · Limited accessAnnounced introductory rates for the upcoming broader launch. Regular rates will be $4 input and $20 output per million tokens; the introductory end date and batch discount are not published.30 Sept 2026$2.00$10$0.10$4.002.7× the price
GPT-6 SolOpenAIListed rates apply up to 272K input tokens. Above 272K, input costs $4, cached input $0.40 and output $15 per million tokens for the full request.22 Sept 2026$2.00$10$0.20$4.002.7× the price
GPT-6.1 SolOpenAIListed rates apply up to 272K input tokens. Above 272K, input costs $4, cached input $0.20 and output $15 per million tokens for the full request.29 Sept 2026$2.00$10$0.10$4.002.7× the price
Gemini 3.1 ProGoogle DeepMind · PreviewRates apply to prompts up to 200K tokens. Above 200K, input is $4, output $18 and cached input $0.40 per million tokens. Cache storage and grounding are billed separately.19 Feb 2026$2.00$12$0.20$4.503× the price
Claude Opus 5.5Anthropic22 Sept 2026$4.00$20$0.20$8.005.3× the price
GPT-5.6 SolOpenAIPrice before the GPT-6 launch, from OpenAI's announcement. OpenRouter now lists $2 / $10.9 Jul 2026$4.00$20–$8.005.3× the price
Claude Opus 5Anthropic24 Jul 2026$5.00$25$0.50$106.7× the price
Claude Fable 5Anthropic9 Jun 2026$10$50$1.00$2013× the price
Claude Fable 5.1Anthropic1 Sept 2026$10$50$0.25$2013× the price
GPT-6 AstraOpenAI4 Sept 2026$10$50$1.00$2013× the price

GPT-6.1 Sol and GPT-6 Sol rates were checked on 8 October 2026 against OpenAI model documentation. USD per million tokens, checked 2 Oct 2026 via OpenRouter. Comparison uses the blended price (3 input tokens for every output token). Haiku 5.5 and Sonnet 5.5 prices were updated from Anthropic's 7 October 2026 announcement. Gemini and Grok prices were checked against official Google and xAI documentation on 8 October 2026.

Official benchmark results

Gemini 3.8 Flash launch results

Reported by Google DeepMind on 2 Sept 2026 · exact values

Exact published scores · Higher is better. Unreported results are omitted.

BenchmarkGemini 3.8 FlashGemini 3.7 FlashClaude Opus 5Claude Sonnet 5GPT-5.6 SolGPT-5.6 Terra
DeepSWE v1.1Long-horizon software engineering73.7%65.3%74%53.8%72.7%69.6%
GDPVal-AA v2Knowledge work · Elo1545 Elo1482 Elo1824 Elo1584 Elo1710 Elo1528 Elo
Vals Finance Agent v2Financial analyst tasks61.4%59%58.6%53.9%53.8%54.4%
Harvey's Legal Agent BenchmarkComplex legal workflows · All pass rate10%8.8%6.7%5%2.5%0.8%
Terminal-bench 2.1Agentic terminal coding89.4%85.8%89.1%80.4%88.8%87.4%
Terminal-bench 4.0General agent capabilities19.1%11.2%51.8%12.4%37.3%23.6%
GDP.PDFExpert PDF document comprehension · All pass rate35%34%37%28%40%29%
CharXiv ReasoningInformation synthesis from complex charts · No tools86.2%84.5%83.7%70.1%85.8%85.9%
LVBenchLong video understanding · (agentic)87.8%85.4%75.4%68.5%82.1%78.9%
LVBenchLong video understanding · (static)87.1%–––––
HLE-VerifiedMultidisciplinary expert reasoning54.9%53.6%54.4%31%54.5%51.1%
OSWorld-2.0Agentic computer use · Partial score batch tool enabled59%50.6%75.4%42.6%62.6%50.2%
BioMysteryBenchBioinformatics research workflows · Human Solvable88.8%87.1%90.1%87.5%79.5%83.8%
BioMysteryBenchBioinformatics research workflows · Human Difficult56.5%43.5%49.4%34.1%44.7%49.4%
LABBench2Biology real-world research tasks86.2%82.1%84.2%80.1%82.1%81.2%
View Google DeepMind's original charts
Google DeepMind: Gemini 3.8 Flash Vals Finance Agent v2 scores.
Original chart published by Google DeepMind, shown for reference.
Google DeepMind: Gemini 3.8 Flash Harvey's Legal Agent Benchmark scores.
Original chart published by Google DeepMind, shown for reference.
Google DeepMind: Gemini 3.8 Flash HLE-Verified scores.
Original chart published by Google DeepMind, shown for reference.
  • Bold marks the best reported score in each row.
  • Exact scores from the Google DeepMind model card. Gemini 3.7 Flash and GPT-5.6 Terra are benchmark comparisons only.
  • LVBench reports separate agentic and static results for Gemini 3.8 Flash. Competitor cells span both rows in the source; they appear alongside the agentic result here, with no separate static values inferred. OSWorld-2.0 uses partial scoring with the batch tool enabled.
  • These are Google-reported results; keep benchmark versions and evaluation harnesses in mind when comparing other launch tables.
Source: Gemini 3.8 Flash model card (Google DeepMind)
Gemini 3.8 Flash: DeepSWE v1.1

Score against average cost per task · reported by Google DeepMind on 2 Sept 2026

Google's original comparison of long-horizon software engineering scores and task costs.

Google DeepMind has not published the numbers behind this chart, so the original image is shown instead. Open the announcement for the full context.

Google DeepMind: DeepSWE v1.1 scores against average cost per task, with lower cost to the right.
Original chart published by Google DeepMind, shown for reference.
  • The image reverses the cost axis: lower cost is to the right. Exact numeric task costs and per-effort point values were not published with this chart, so no reconstructed points are shown.
  • The exact launch scores are available in the Gemini 3.8 Flash result table.
Source: Introducing Gemini 3.8 Flash and 3.8 Flash Cyber (Google DeepMind)