Capability
78.4/100
field median 58.1
#6 of 232 ranked models
Gemini 3.8 Flash
CurrentReleased Sep 2, 2026ProprietaryReasoning1M contextGoogle DeepMind Gemini 3.8 Flash model card
Released Sep 2, 2026 — see all recent releases
Decision reading
Gemini 3.8 Flash scores 78.4 out of 100 and ranks #6 of 232. This profile shows 18 source-displayable benchmark rows; its strongest eligible category is Coding at #6. API pricing is $0.75 input and $3.75 output per million tokens, with cached input at $0.075.
Data as of September 4, 2026 · How the score is built
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Strongest published evidence
Coding ranks #6. Particularly well-suited for software development and code generation tasks.
Validate before choosing
18 published rows leave some tracked benchmark slots empty. Agentic is its lowest eligible category at #11.
Decision snapshot
Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.
Price
$0.75input / $3.75 output
input median $1
cached $0.075 · blended $2.25
Speed
327tok/s
field median 92 tok/s
First token 10.75 s
Context
1Mtokens
field median 256,000
Maximum output length is tracked separately
Capability shape
Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.
Gemini 3.8 Flash category percentile values
- Agentic93rd percentile
- Coding97th percentile
- ReasoningNot eligible
- Knowledge97th percentile
- MathNot eligible
- MultilingualNot eligible
- Multimodal85th percentile
- Instruction followingNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- Agentic#11/151
- Coding#6/183
- ReasoningNot ranked
- Knowledge#6/181
- MathNot ranked
- MultilingualNot ranked
- Multimodal#8/48
- Inst. FollowingNot ranked
Top decileTop quartileMid-fieldNot eligible
What it costs to get this score
Published API price against the public score. The x-axis uses a log scale; the dashed path marks models that are not beaten by a cheaper, higher-scoring option. Price uses average of published input and output rates.
The chart opens on the current model. Scroll horizontally to inspect the full price axis.
Current modelGemini 3.8 Flash · 78.4 score · $2.25 blended per million tokens
Horizontal: blended price per million tokens, log scale · Vertical: public score
How much of this is verified
Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.
- Agentic5/5 verified
- Coding5/5 verified
- ReasoningNot measured
- Knowledge6/6 verified
- MathNot measured
- MultilingualNot measured
- Multimodal2/2 verified
- Inst. FollowingNot measured
Verified sourceProvisionalNot measured
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- gemini-3.8-flashGoogle Gemini 3.8 Flash API documentation
- Context window
- 1MGoogle Gemini 3.8 Flash API documentation
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- text, image, video, audio, pdfGoogle Gemini 3.8 Flash API documentation
- Output modalities
- textGoogle Gemini 3.8 Flash API documentation
- Parameters
- Not disclosed by the provider
- Availability
- Gemini API · Google AI Studio · Android Studio · Stitch · Gemini app · Gemini Enterprise · Google AI Mode · Google Sheets · Google AntigravityGoogle Gemini 3.8 Flash and Gemini 3.8 Flash Cyber launch
- Cloud regions
- Not tracked yet
- Lifecycle
- activeGoogle Gemini 3.8 Flash API documentation
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Published at $0.075 per million cached input tokensGoogle Gemini API pricing
- Self-host
- Weights are not published
- Rate limits
- Not tracked yet
Category score record
Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #11 of 151Percentile 93rdWeight 22%5 benchmarksVerified | 67.6 | #11 of 151 | 93rd | 22% | 5 benchmarks | Verified |
| CodingRank #6 of 183Percentile 97thWeight 20%5 benchmarksVerified | 68.1 | #6 of 183 | 97th | 20% | 5 benchmarks | Verified |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeRank #6 of 181Percentile 97thWeight 12%6 benchmarksVerified | 76.3 | #6 of 181 | 97th | 12% | 6 benchmarks | Verified |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalRank #8 of 48Percentile 85thWeight 12%2 benchmarksVerified | 82.6 | #8 of 48 | 85th | 12% | 2 benchmarks | Verified |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
Benchmark ledger
Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.
Coding5 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| LiveCodeBench (Vals)LiveCodeBench, Vals AI run | Score89.5% | Versus best verified row Best verified: Claude Fable 5.1 · 90.5% | Gap1 behind | WeightWeighted 15% | |
| cursorBench32 | Score69.2% | Versus best verified row Best verified: Claude Fable 5.1 · 73.4% | Gap4.2 behind | WeightWeighted 10% | Benchmark exact |
| deepSwe | Score73.8% | Versus best verified row Best verified: Muse Spark 1.3 · 75.4% | Gap1.6 behind | WeightDisplay only | Benchmark exact |
| Terminal-Bench 2.1Terminal-Bench 2.1 (provider run) | Score89.4% | Versus best verified row Best verified: Gemini 3.8 Flash · 89.4% | GapBest verified | WeightDisplay only | Provider exact |
| SWE-bench (Vals)SWE-bench, Vals AI run | Score80.0% | Versus best verified row Best verified: Claude Opus 5 · 97.0% | Gap17 behind | WeightDisplay only | Verified |
Agentic5 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| OSWorld 2.0 | Score59.0% | Versus best verified row Best verified: GPT-6 Astra · 72.6% | Gap13.6 behind | WeightWeighted 10% | Provider exact |
| Finance Agent v2 | Score61.4% | Versus best verified row Best verified: Gemini 3.8 Flash · 61.4% | GapBest verified | WeightDisplay only | Provider exact |
| Terminal-Bench 2.1Terminal-Bench 2.1 (provider run) | Score89.4% | Versus best verified row Best verified: Gemini 3.8 Flash · 89.4% | GapBest verified | WeightDisplay only | Provider exact |
| Terminal-Bench 4.0 | Score19.10% | Versus best verified row Best verified: Claude Mythos 5.1 · 60.90% | Gap41.8 behind | WeightDisplay only | Provider exact |
| Terminal-Bench 2.1 (Vals)Terminal-Bench 2.1, Vals AI run | Score81.3% | Versus best verified row Best verified: GPT-6 Astra · 87.3% | Gap6 behind | WeightDisplay only |
Knowledge6 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMLU-Pro (Vals)MMLU-Pro, Vals AI run | Score90.2% | Versus best verified row Best verified: Claude Fable 5.1 · 92.4% | Gap2.2 behind | WeightWeighted 10% | Verified |
| HLE-Verified | Score54.9% | Versus best verified row Best verified: Gemini 3.8 Flash · 54.9% | GapBest verified | WeightDisplay only | Provider exact |
| LABBench2LABBench2: An Improved Benchmark for AI Systems Performing Biology Research | Score86.2% | Versus best verified row Best verified: Gemini 3.8 Flash · 86.2% | GapBest verified | WeightDisplay only | Provider exact |
| BioMysteryBench (human-solvable)BioMysteryBench Human Solvable | Score88.8% | Versus best verified row Best verified: Claude Opus 5 · 90.1% | Gap1.3 behind | WeightDisplay only | Provider exact |
| BioMysteryBench (human-difficult)BioMysteryBench Human Difficult | Score56.5% | Versus best verified row Best verified: Gemini 3.8 Flash · 56.5% | GapBest verified | WeightDisplay only | Provider exact |
| GPQA Diamond (Vals)GPQA Diamond, Vals AI run | Score94.4% | Versus best verified row Best verified: Gemini 3.1 Pro · 95.5% | Gap1.1 behind | WeightDisplay only |
Multimodal2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| CharXiv w/o toolsCharXiv Reasoning without tools | Score86.2% | Versus best verified row Best verified: Claude Mythos 5 · 88.9% | Gap2.7 behind | WeightDisplay only | Provider exact |
| LVBench | Score87.1% | Versus best verified row Best verified: Gemini 3.8 Flash · 87.1% | GapBest verified | WeightDisplay only | Provider exact |
Lineage
The sequence follows explicit supersedes links. A successor's displayed score stays at least 0.1 points above its predecessor; raw benchmark rows do not move. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
May 19, 2026
Gemini 3.5 FlashScore 70.0 · $1.5 / $9
Jul 21, 2026
Gemini 3.6 FlashScore 70.1 · $1.5 / $7.5
Aug 13, 2026
Gemini 3.7 FlashScore 70.2 · $0.75 / $3.75
Sep 2, 2026 · you are here
Gemini 3.8 FlashScore 78.4 · $0.75 / $3.75
Base entry
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
Gemini 3.8 Flash ranks #6 of 232 on the public leaderboard with a score of 78.41/100. Its source-verified position is #5 of 130.
Gemini 3.8 Flash is a proprietary model with a 1M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Generally available as the stable `gemini-3.8-flash` model through the Gemini API and Google AI Studio. Google also distributes it through Android Studio, Stitch, the Gemini app, Gemini Enterprise, Google AI Mode, Google Sheets, and Google Antigravity.
Gemini 3.8 Flash sits in the Gemini 3.8 Flash family with Gemini 3.8 Flash Cyber. Its explicit predecessor is Gemini 3.7 Flash. 18 of 422 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Coding at #6, while its lowest eligible position is Agentic at #11. particularly well-suited for software development and code generation tasks.
Radar
Full release historyGemini 3.8 Flash release history
Gemini 3.8 Flash and Gemini 3.8 Flash Cyber released
Google · Model release
Source confirmed
Radar confirmed these at the source. Already tracking Gemini 3.8 Flash? See the free Radar Brief for what changes next.
Frequently asked questions
How does Gemini 3.8 Flash perform overall in AI benchmarks?
Gemini 3.8 Flash ranks #6 out of 232 models on the public BenchAlign leaderboard, with a score of 78.41/100. Its evidence status is Supported, and this profile shows 18 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is Gemini 3.8 Flash good for knowledge and understanding?
Gemini 3.8 Flash ranks #6 out of 181 eligible models for knowledge and understanding, with a public category score of 76.3/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.
Is Gemini 3.8 Flash good for coding and programming?
Gemini 3.8 Flash ranks #6 out of 183 eligible models for coding and programming, with a public category score of 68.1/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.
Is Gemini 3.8 Flash good for agentic tool use and computer tasks?
Gemini 3.8 Flash ranks #11 out of 151 eligible models for agentic tool use and computer tasks, with a public category score of 67.6/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is Gemini 3.8 Flash good for multimodal and grounded tasks?
Gemini 3.8 Flash ranks #8 out of 48 eligible models for multimodal and grounded tasks, with a public category score of 82.6/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.
Which sibling models are related to Gemini 3.8 Flash?
Gemini 3.8 Flash belongs to the Gemini 3.8 Flash family. Related tracked variants include Gemini 3.8 Flash Cyber. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.
Does Gemini 3.8 Flash have full benchmark coverage on BenchLM?
No. Gemini 3.8 Flash currently has 36 source-displayable rows across 422 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of Gemini 3.8 Flash?
Gemini 3.8 Flash has a documented context window of 1M. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.
Compare Gemini 3.8 Flash with every tracked model410 comparisons
Last updated September 4, 2026. Runtime fields remain blank until a sourced snapshot exists.
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