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Gemini 3.7 Flash vs Gemini 3.8 Flash

Full profiles: Gemini 3.7 Flash (Google) and Gemini 3.8 Flash (Google): every benchmark, price and rank.

Updated · Data from 10 sources

As of 24 Oct 2026, Gemini 3.7 Flash (high) and Gemini 3.8 Flash (high) are neck and neck on quality (63.5 vs 64.4, inside the ±5.2 margin of error) and cost about the same, so speed decides it: Gemini 3.8 Flash (high) streams 1.6× faster. Gemini 3.8 Flash (high)'s current price runs until 31 Dec 2026; from 1 Jan 2027 Gemini 3.7 Flash (high) costs 2.0× less ($1.50 vs $3.00 per 1M blended).

Gemini 3.7 Flash benchmarks high Google Gemini 3.8 Flash benchmarks high GoogleOpen in the comparison tool

Which to pick for…

The pick's numbers come first. Category scores on the BenchLeader scale (50 is the average model, 15 points one standard deviation). High confidence means a lead of half a standard deviation or more; under one point is called either.

Use casePickWhyConfidence
CodingEither63 vs 64 category score; Arena WebDev 1591 vs 1585Either
Agents & tool useGemini 3.8 Flash51 vs 48 category score; Terminal-Bench 19.1% vs 11.2%Medium
MathsEither63 vs 62 category score; FrontierMath Tiers 1–3 71.6% vs 68.4%Either
ReasoningEither67 vs 68 category score; GPQA Diamond 94.8% vs 95.4%Either
KnowledgeEither68 vs 68 category score; SimpleQA Verified 69.2% vs 69.7%Either
Long documentsEither66 vs 66 category score; AA-LCR 81.7% vs 81.3%Either
Images and other mediaEither68 vs 68 category score; Arena Vision 1314 vs 1315Either
Chat quality (human preference)Either68 vs 69 on Arena votesEither
Lowest costEither$1.50 vs $1.50 per 1M blended; agentic coding session $0.060 vs $0.060; from 1 Jan 2027: $1.50 vs $3.00–
Fastest first answerGemini 3.7 Flash2.5 s (Gemini 3.7 Flash (high)) vs 25.1 s (Gemini 3.8 Flash (high)) to the first answer token–
High volume on a budgetNeither flagshipA smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs–

Key differences

  • Gemini 3.7 Flash (high) and Gemini 3.8 Flash (high) are neck and neck on quality (63.5 vs 64.4, within the ±5.2 margin).
  • Gemini 3.7 Flash (high) is stronger in long context, maths.
  • Gemini 3.8 Flash (high) is stronger in agents & tools, coding, composite, human preference, knowledge, multimodal, reasoning.
  • They cost about the same ($1.50 per 1M blended) until 31 Dec 2026, then $1.50 vs $3.00 from 1 Jan 2027.
  • Gemini 3.8 Flash (high) streams 1.6× faster (141 vs 88 tokens per second).

At a glance

SpecGemini 3.7 FlashGemini 3.8 Flash
DeveloperGoogleGoogle
Released13 Aug 20262 Sept 2026
Context window (tokens)1,048,5761,048,576
Compared atGemini 3.7 Flash (high)Gemini 3.8 Flash (high)
Open weightsNoNo
Price in / out / cached input per 1M$0.750 / $3.75 / $0.075$0.750 / $3.75 / $0.075
Announced price changeNone announced$1.50 / $7.50 from 1 Jan 2027

Limits, availability and announced prices from the vendors' own pages: ai.google.dev pricing (checked 20 Oct 2026). Everything else is from the day's data.

Category by category

Category scores on the BenchLeader scale: 50 is the average evaluated model, 15 points is one standard deviation. A gap under one point is called level.

CategoryGemini 3.7 Flash (high)Gemini 3.8 Flash (high)Leader
Reasoning67.368.2level
Coding63.063.5level
Agents & tools47.550.9Gemini 3.8 Flash
Maths63.362.4level
Knowledge68.068.4level
Human preference68.469.1level
Multimodal67.667.7level
Long context65.965.7level
Composite73.275.3Gemini 3.8 Flash

Where sources disagree

Across the 75 benchmarks both have, Gemini 3.7 Flash leads 28, Gemini 3.8 Flash leads 46 and 1 is a tie. Every overall index that rates both puts Gemini 3.8 Flash ahead.

Overall indexGemini 3.7 Flash (high)Gemini 3.8 Flash (high)Leader
BenchLeader Index63.564.4neck and neck
AA Intelligence Index v4.3.239.140.9Gemini 3.8 Flash
Arena Text14901496Gemini 3.8 Flash

Each publisher runs its own tasks, harnesses and effort settings, so their overall verdicts can differ; BenchLeader reconciles them on one scale. † measured at another effort setting of the same model (the publisher did not test the one compared here).

Price, speed and latency

List prices blended at three input tokens per output token. Per-task prices use the token counts on the methodology page; suite cost is what Artificial Analysis paid to run its whole Intelligence Index.

MeasureGemini 3.7 Flash (high)Gemini 3.8 Flash (high)
Blended price per 1M tokens, until 31 Dec 2026$1.50$1.50
Input / output per 1M$0.750 / $3.75$0.750 / $3.75
Blended price per 1M from 1 Jan 2027$1.50$3.00
Input / output per 1M from 1 Jan 2027$0.750 / $3.75$1.50 / $7.50
Cached input per 1M$0.075$0.075
Price per task: chat reply$0.0014$0.0014
Price per task: summarize a 30-page report$0.011$0.011
Price per task: code edit$0.010$0.010
Price per task: agentic coding session$0.060$0.060
Price per task: structured extraction$0.0023$0.0023
Cost to run a full benchmark suite–$1.24
Output speed88 tok/s141 tok/s
Time to first answer2.5 s25.1 s
Time to a complete answer–28.7 s

Each model is compared at its best-ranked reasoning-effort setting. Gemini 3.7 Flash (high) scores 63.5 and takes 2 s to its first answer token; Gemini 3.7 Flash (medium) scores 63.1 in 2 s, Gemini 3.7 Flash (low) scores 60.3 in 2 s. Gemini 3.8 Flash (high) scores 64.4 and takes 25 s to its first answer token; Gemini 3.8 Flash (medium) scores 64.4 in 3 s, Gemini 3.8 Flash (low) scores 61.0 in 3 s. Higher effort means more thinking before the answer: better scores, longer waits and more tokens billed. How reasoning effort changes scores and cost.

Every benchmark

137 benchmarks, grouped by category; each name links to the board and its leaders. † measured at another effort setting of the same model, shown for reference and not counted as a win.

MetricPublisherGemini 3.7 Flash (high)Gemini 3.8 Flash (high)
BenchLeader IndexBenchLeader63.564.4
Agents & tools scoreBenchLeader47.550.9
Coding scoreBenchLeader63.063.5
Composite scoreBenchLeader73.275.3
Human preference scoreBenchLeader68.469.1
Knowledge scoreBenchLeader68.068.4
Long context scoreBenchLeader65.965.7
Maths scoreBenchLeader63.362.4
Multimodal scoreBenchLeader67.667.7
Reasoning scoreBenchLeader67.368.2
Blended price $/MBenchLeader$1.50$1.50
Output speedBenchLeader88 tok/s141 tok/s
Time to first answerBenchLeader2.5 s25.1 s
Context windowBenchLeader1,048,576 tokens1,048,576 tokens
Reasoning
GPQA DiamondEpoch AI Benchmarking Hub94.8%95.4%
Humanity's Last ExamScale AI / CAIS–44.5%†
Arena Hard PromptsArena (LMArena)15091517
LiveBench 2.0 ReasoningLiveBench87.8%†89.3%†
LiveBench 1.0 ReasoningLiveBench87.8%89.3%
GPQA Diamond (AA)Artificial Analysis94.5%95.3%
Humanity's Last Exam (AA)Artificial Analysis47.9%47.8%
GPQA Diamond (Vals)Vals AI93.9%94.4%
ARC-AGI-1ARC Prize95.5%98.5%
ARC-AGI-2ARC Prize84.6%89.2%
ARC-AGI-3ARC Prize–35.0%
CritPtArtificial Analysis14.3%18.3%
MysteryMechanismVals AI–36.5%
Chess PuzzlesEpoch AI Benchmarking Hub66.0%58.0%
Mystery Game PuzzlesEpoch AI Benchmarking Hub37.0%47.0%
LMCAEpoch AI Benchmarking Hub50.4%51.5%†
DTBenchEpoch AI Benchmarking Hub96.8%95.7%†
ForecastBenchForecastBench66.2%–
Coding
SciCodeSciCode57.2%56.6%
WeirdMLWeirdML–84.8%
FrontierCodeCognition43.6%†41.2%†
Arena CodingArena (LMArena)15201528
Arena WebDevArena (LMArena)15911585
LiveBench 2.0 CodingLiveBench80.5%†82.2%†
LiveBench 1.0 CodingLiveBench78.9%72.5%
Show all 137 benchmarks
MetricPublisherGemini 3.7 Flash (high)Gemini 3.8 Flash (high)
Coding
LiveCodeBenchVals AI88.7%89.5%
IOIVals AI67.8%56.9%
SWE-bench (Vals)Vals AI80.8%80.0%
Code MigrationVals AI34.8%36.5%
Code Migration v1.1Vals AI–38.6%
ProgramBenchVals AI0.0%1.0%
SWE-bench MultimodalVals AI–40.8%
Vibe Code Bench 1-100Vals AI–18.8%
Vibe Code Bench v1.1Vals AI70.4%78.7%
SWE Atlas: Codebase QnAScale AI SEAL–47.0%†
SWE Atlas: RefactoringScale AI SEAL–44.8%†
SWE Atlas: Test WritingScale AI SEAL–53.7%†
Surface Evolver BenchEpoch AI Benchmarking Hub–76.9%
DeepSWE v1.1Epoch AI Benchmarking Hub65.3%73.8%
CursorBenchCursor–39.6%
ALE-BenchEpoch AI Benchmarking Hub904.31269.7
FrontierSWEEpoch AI Benchmarking Hub20.3%19.6%
Terminal-Bench 4.0 (AA)Artificial Analysis13.6%19.7%
Terminal-Bench 2.1 (AA)Artificial Analysis85.8%87.6%
Startrise FrontendStartrise–64.6%†
FrontierCode 1.1 (AA)Artificial Analysis–36.4%
Agents & tools
Terminal-BenchTerminal-Bench11.2%19.1%
Remote Labor IndexScale AI / CAIS5.0%†5.8%†
APEX-AgentsMercor67.8%†64.3%†
Arena AgentArena (LMArena)-13.6
LiveBench Long AgenticLiveBench28.3%†30.1%†
LiveBench BrowserLiveBench56.0%†64.0%†
LiveBench Agentic CodingLiveBench58.3%54.2%
Terminal-Bench 2.1 (Vals)Vals AI77.5%81.3%
HiL-BenchScale AI SEAL–41.5%†
GDPval-AA v2.1Artificial Analysis–46.8%
τ³-Banking (AA)Artificial Analysis32.8%45.0%
ITBench SRE (AA)Artificial Analysis–52.5%
Analyst Agent (AA)Artificial Analysis60.0%46.3%
CUA-benchVals AI–4.2%
CyberBenchVals AI43.8%43.8%
Finance Agent v2Vals AI59.0%61.4%
Finance Agent v2.1Vals AI–65.8%
Harvey's Legal Agent Benchmark v1.1Vals AI–12.1%
Harvey's Legal Agent Benchmark v1Vals AI8.8%10.0%
Legal Research BenchVals AI34.6%38.9%
SkillsBenchVals AI65.9%58.0%
SREBenchVals AI4.6%11.1%
Tax Agent BenchVals AI22.8%32.1%
Terminal-Bench 4.0 (Vals)Vals AI12.1%19.7%
Terminal-Bench ScienceVals AI7.1%8.6%
Time Horizon Index: KSPVals AI–18.8%
Vending-Bench 2Andon Labs–5093.8†
AutomationBenchArtificial Analysis62.0%59.9%
GDP.pdf (AA)Artificial Analysis23.6%21.0%
Harvey LAB-AA v1.1Harvey–0.0%
EnterpriseOps-GymArtificial Analysis50.4%†–
AA-Briefcase v1.1Artificial Analysis–1202
Terminal-Bench-Science 0.1 (AA)Artificial Analysis–10.0%
CWE-Bench (AA)Artificial Analysis–52.5%
DeepSec-Bench (AA)Artificial Analysis–14.5%
CyberGym end-to-end (AA)Artificial Analysis–8.4%
FACTS SearchGoogle80.9%†76.3%†
Maths
FrontierMath Tiers 1–3Epoch AI Benchmarking Hub71.6%68.4%
FrontierMath Tier 4Epoch AI Benchmarking Hub36.6%21.9%
OTIS Mock AIMEEpoch AI Benchmarking Hub97.2%98.9%
ProofBenchVals AI58.0%†48.0%†
LiveBench MathematicsLiveBench93.5%91.6%
Arena MathsArena (LMArena)15051526
Knowledge
SimpleQA VerifiedEpoch AI Benchmarking Hub69.2%69.7%
LiveBench 2.0 Data AnalysisLiveBench68.0%†54.0%†
LiveBench ResearchLiveBench76.5%†79.1%†
LiveBench 1.0 Data AnalysisLiveBench68.0%54.0%
AA-OmniscienceArtificial Analysis26.529.6
MMLU-ProVals AI90.1%90.2%
LegalBenchVals AI87.3%87.0%
TaxEvalVals AI74.7%74.5%
PRBench FinanceScale AI SEAL–49.5%†
PRBench LegalScale AI SEAL–48.9%†
BioMysteryBenchVals AI–62.2%
Excel Modeling BenchmarkVals AI71.3%72.2%
Excel Modeling Benchmark v1.1Vals AI–72.9%
MedCodeVals AI53.4%48.1%
MedScribeVals AI83.9%84.5%
Public Benefits Bench v1.1Vals AI–65.3%
GDP.pdfEpoch AI Benchmarking Hub23.8%23.2%
AA-Omniscience: accuracyArtificial Analysis55.3%54.6%
AA-Omniscience: non-hallucinationArtificial Analysis35.5%44.8%
Instruction following
LiveBench LanguageLiveBench85.5%87.8%
LiveBench Instruction FollowingLiveBench79.9%81.4%
Arena Instruction FollowingArena (LMArena)14871490
Human preference
Arena TextArena (LMArena)14901496
Arena Creative WritingArena (LMArena)14921485
Arena Multi-turnArena (LMArena)14891504
Arena Longer QueriesArena (LMArena)15011510
Multimodal
Arena VisionArena (LMArena)13141315
LiveBench DesignLiveBench73.2%†72.7%†
MMMU-ProArtificial Analysis85.5%85.6%
MMMU-Pro (Vals)Vals AI89.0%89.1%
MortgageTaxVals AI66.7%65.3%
SAGEVals AI49.2%35.1%
AudioMCScale AI SEAL–60.4%
AudioMC (text output)Scale AI SEAL–60.4%
Blueprint-Bench 2Epoch AI Benchmarking Hub–38.6%†
AA-3DArtificial Analysis–969
Long context
AA-LCRArtificial Analysis81.7%81.3%
MLCRArtificial Analysis12.2%10.6%
Composite
Epoch Capabilities IndexEpoch AI Benchmarking Hub158.0†157.4†
LiveBench 2.0LiveBench67.2%†67.3%†
LiveBench 1.0LiveBench78.8%75.8%
AA Intelligence Index v4.3.2Artificial Analysis39.140.9
Vals IndexVals AI–56.0
Vals Finance IndexVals AI–60.5%
Vals RSI IndexVals AI18.3%19.9%
Vals Science IndexVals AI–35.8%
Vals Router IndexVals AI–56.0%†
AA Cyber IndexArtificial Analysis–25.1

Data as of 2026-10-24. Best configuration of each model; every score links to its source on the model pages.

What changed

  • Gemini 3.8 Flash: list price moves to $1.50 / $7.50 per 1M input / output tokens (announced).
  • Gemini 3.7 Flash (high): 2 new results (Harvey's Legal Agent Benchmark v1, Vals RSI Index).
  • Gemini 3.8 Flash (high): 8 new results (Code Migration v1.1, Excel Modeling Benchmark v1.1, Finance Agent v2.1…).
  • Gemini 3.7 Flash (high): input price moved from $0.38/M to $0.75/M (97% up); output price moved from $1.88/M to $3.75/M (99% up).
  • Gemini 3.7 Flash (high): 1 score revision; input price moved from $0.75/M to $0.38/M (49% down); output price moved from $3.75/M to $1.88/M (50% down).
  • Gemini 3.8 Flash (high): 1 score revision.
  • Gemini 3.7 Flash (high): 1 new result (ForecastBench).
  • Gemini 3.8 Flash (high): 3 score revisions.
  • Gemini 3.7 Flash (high): BenchLeader Index 62.9 → 63.5.
  • Gemini 3.8 Flash (high): BenchLeader Index 63.7 → 64.5.

Rankings: Best LLM overall · Best LLM for agents · Best cheap LLMs

Gemini 3.7 Flash vs Gemini 3.8 Flash: questions

Is Gemini 3.7 Flash better than Gemini 3.8 Flash?
Gemini 3.7 Flash (high) and Gemini 3.8 Flash (high) are neck and neck on quality (63.5 vs 64.4, within the ±5.2 margin). The BenchLeader Index combines every independent quality benchmark; the two are within the margin of error as of 2026-10-24, so check the category scores for your use.
Which is cheaper, Gemini 3.7 Flash or Gemini 3.8 Flash, and will that change?
They cost the same: $1.50 per million tokens blended. Yes, that changes: Gemini 3.8 Flash's list price changes on 1 Jan 2027, and from then Gemini 3.7 Flash is cheaper ($1.50 vs $3.00 blended).
Is Gemini 3.7 Flash better than Gemini 3.8 Flash for coding?
They are level in coding (63 vs 64 on the category index). On Arena WebDev, the top shared coding benchmark, it is 1591 for Gemini 3.7 Flash against 1585 for Gemini 3.8 Flash.
Is Gemini 3.7 Flash better than Gemini 3.8 Flash for agents and tool use?
Gemini 3.8 Flash scores higher in agentic tasks (51 vs 48 on the category index, where 50 is average). On Terminal-Bench, the top shared agents & tools benchmark, it is 11.2% for Gemini 3.7 Flash against 19.1% for Gemini 3.8 Flash.
Which is better for long documents?
They are level on long-context benchmarks (66 vs 66). Both accept 1,048,576 tokens of context.
Which has lower latency?
Gemini 3.7 Flash (high) answers first: 2.5 s against 25.1 s to the first answer token, as Artificial Analysis measures it. Reasoning effort drives most of this: a higher setting thinks longer before it answers.
Which is faster, Gemini 3.7 Flash or Gemini 3.8 Flash?
Gemini 3.8 Flash streams faster: 141 against 88 output tokens per second.
Do independent benchmarks agree on Gemini 3.7 Flash vs Gemini 3.8 Flash?
Across the 75 benchmarks both have, Gemini 3.7 Flash leads 28, Gemini 3.8 Flash leads 46 and 1 is a tie. Every overall index that rates both puts Gemini 3.8 Flash ahead.
When was Gemini 3.8 Flash released?
Gemini 3.8 Flash was released on 2 Sept 2026.