Agentic
Not comparable- Gemini 3.7 Flash
- 64.1
- Supported · #12/153
- Gemini 3.8 Live Extended Thinking
- Not ranked
- Basis
- BenchAlign lane · 7 vs 0 public rows
- Reading
- Not comparable
Gemini 3.7 Flash vs Gemini 3.8 Live Extended Thinking
Updated September 15, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. Use the documented cost, context, and runtime rows instead.
0 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
Share or export
Which one for your work
Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.
Long documents
Prompts that approach the documented context limit
Gemini 3.7 Flash
Gemini 3.7 Flash has the larger documented context window.
Confidence: documented
Chat turn cost
1K fresh input + 500 output tokens
Gemini 3.7 Flash
Gemini 3.7 Flash has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Show secondary and unsupported calls
Repository review cost
50K fresh input + 3K output tokens
Gemini 3.7 Flash
Gemini 3.7 Flash has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Gemini 3.8 Live Extended Thinking is not ranked on the public lane for coding, so no winner is named for coding.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Gemini 3.8 Live Extended Thinking is not ranked on the public lane for agentic, so no winner is named for agentic.
Confidence: limited
Cache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. Gemini 3.8 Live Extended Thinking does not fit this workload in one request. Gemini 3.8 Live Extended Thinking has no published cached-input rate, so cached tokens use its listed input rate.
Confidence: rate-fallback
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
23 Gemini 3.7 Flash only
- Shared results
- 0
- Gemini 3.7 Flash only
- 23
- Gemini 3.8 Live Extended Thinking only
- 0
- Like-for-like categories
- 0 / 8
Category results, on a stated basis
Each row shows the public-lane category score for both models: the BenchAlign lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.
Coding
Not comparable- Gemini 3.7 Flash
- 62.7
- Supported · #15/152
- Gemini 3.8 Live Extended Thinking
- Not ranked
- Basis
- BenchAlign lane · 6 vs 0 public rows
- Reading
- Not comparable
Reasoning
Not comparable- Gemini 3.7 Flash
- 77.2
- Unranked · 3 rankable rows
- Gemini 3.8 Live Extended Thinking
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Knowledge
Not comparable- Gemini 3.7 Flash
- 69.7
- Supported · #13/183
- Gemini 3.8 Live Extended Thinking
- Not ranked
- Basis
- BenchAlign lane · 6 vs 0 public rows
- Reading
- Not comparable
Math
Not comparable- Gemini 3.7 Flash
- Not ranked
- Gemini 3.8 Live Extended Thinking
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- Gemini 3.7 Flash
- Not ranked
- Gemini 3.8 Live Extended Thinking
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- Gemini 3.7 Flash
- 82.7
- #9/48
- Gemini 3.8 Live Extended Thinking
- Not ranked
- Basis
- Provisional lane · 1 vs 0 weighted rows
- Reading
- Not comparable
Instruction following
Not comparable- Gemini 3.7 Flash
- Not ranked
- Gemini 3.8 Live Extended Thinking
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
| Category | Gemini 3.7 Flash | Gemini 3.8 Live Extended Thinking | Basis | Reading |
|---|---|---|---|---|
| Agentic | 64.1Supported · #12/153 | Not ranked | Not comparableBenchAlign lane · 7 vs 0 public rows | Not comparable |
| Coding | 62.7Supported · #15/152 | Not ranked | Not comparableBenchAlign lane · 6 vs 0 public rows | Not comparable |
| Reasoning | 77.2Unranked · 3 rankable rows | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Knowledge | 69.7Supported · #13/183 | Not ranked | Not comparableBenchAlign lane · 6 vs 0 public rows | Not comparable |
| Math | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | 82.7#9/48 | Not ranked | Not comparableProvisional lane · 1 vs 0 weighted rows | Not comparable |
| Instruction following | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign) differ from the provisional-lane categories. Unranked scores sit on the lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
Shape of the matched evidence
Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.
A shared-evidence shape is not available.
BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.
What each workload costs
Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.
Chat turn
1K fresh input + 500 output tokens
- Gemini 3.7 Flash
- $0.00262
- Fits in one request
- Gemini 3.8 Live Extended Thinking
- $0.003
- Fits in one request
Gemini 3.7 Flash has the lower modeled cost
Costs use the listed standard API rates.
Repository review
50K fresh input + 3K output tokens
- Gemini 3.7 Flash
- $0.04875
- Fits in one request
- Gemini 3.8 Live Extended Thinking
- $0.051
- Fits in one request
Gemini 3.7 Flash has the lower modeled cost
Costs use the listed standard API rates.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Gemini 3.7 Flash
- $0.0675
- Fits in one request
- Gemini 3.8 Live Extended Thinking
- $0.21
- Does not fit in one request
- Cached input priced at the published list-input rate
Gemini 3.8 Live Extended Thinking does not fit this workload in one request. Gemini 3.8 Live Extended Thinking has no published cached-input rate, so cached tokens use its listed input rate.
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationGemini 3.7 FlashGemini 3.8 Live Extended Thinking
Context window
Maximum documented context; output-token limits may be lower.
Gemini 3.7 Flash
Gemini 3.8 Live Extended Thinking
API model ID
Gemini 3.7 Flash
gemini-3.7-flash
Google Gemini 3.7 Flash API documentationGemini 3.8 Live Extended Thinking
gemini-3.8-live-extended-thinking
Google model documentationCached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Gemini 3.7 Flash
$0.075 per 1M cached input tokens
Google Gemini API pricingGemini 3.8 Live Extended Thinking
Not published
Google model documentationDocumented inputs
Gemini 3.7 Flash
text, image, video, audio, pdf
Google Gemini 3.7 Flash API documentationGemini 3.8 Live Extended Thinking
Not sourced
Documented outputs
Gemini 3.7 Flash
Gemini 3.8 Live Extended Thinking
Not sourced
Provider availability
Gemini 3.7 Flash
Generally Available · Gemini API, Google AI Studio, Gemini App - Spark, Gemini Enterprise App, Gemini Enterprise Agent Platform, Google Antigravity
Google DeepMind Gemini 3.7 Flash model cardGemini 3.8 Live Extended Thinking
Not sourced
Reasoning profile
Gemini 3.7 Flash
Reasoning
Gemini 3.8 Live Extended Thinking
Reasoning
Weight access
Gemini 3.7 Flash
Proprietary
Gemini 3.8 Live Extended Thinking
Proprietary
License
Gemini 3.7 Flash
Proprietary
Gemini 3.8 Live Extended Thinking
Proprietary
Release date
Gemini 3.7 Flash
2026-08-13
Gemini 3.8 Live Extended Thinking
2026-09-15
If you already use one of these models
- Deployment change
- Both entries list Google as the provider. Confirm endpoint, model ID, limits, and feature support before switching.
- Quality signal
- The public evidence has no benchmark result shared by both models, so it does not support a quality verdict.
- Workload cost
- Repository review: $0.04875 vs $0.051. Cache-heavy agent loop: $0.0675 vs $0.21.
- Context tradeoff
- Gemini 3.7 Flash has the larger documented window (1M).
Run the same representative tasks against both endpoints before changing production traffic.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence23 rows
Agentic
Terminal-Bench 2.1
Gemini 3.7 Flash85.8%SourceGemini 3.8 Live Extended Thinking—Not directly comparable
Terminal-Bench 3.0
Gemini 3.7 Flash14.9%SourceGemini 3.8 Live Extended Thinking—Not directly comparable
AutomationBench
Gemini 3.7 Flash30.4%SourceGemini 3.8 Live Extended Thinking—Not directly comparable
OSWorld 2.0
Gemini 3.7 Flash47.9%SourceGemini 3.8 Live Extended Thinking—Not directly comparable
Agents' Last Exam
Gemini 3.7 Flash26.3%SourceGemini 3.8 Live Extended Thinking—Not directly comparable
Terminal-Bench 2.1 (Vals)
Gemini 3.7 Flash77.5%SourceGemini 3.8 Live Extended Thinking—Not directly comparable
ApprenticeBench
Gemini 3.7 Flash16%SourceGemini 3.8 Live Extended Thinking—Not directly comparable
Coding
FrontierCode 1.1 Main
Gemini 3.7 Flash43.6%SourceGemini 3.8 Live Extended Thinking—Not directly comparable
DeepSWE
Gemini 3.7 Flash65.3%SourceGemini 3.8 Live Extended Thinking—Not directly comparable
Terminal-Bench 2.1
Gemini 3.7 Flash85.8%SourceGemini 3.8 Live Extended Thinking—Not directly comparable
FrontierSWE v2
Gemini 3.7 Flash20.3%SourceGemini 3.8 Live Extended Thinking—Not directly comparable
LiveCodeBench (Vals)
Gemini 3.7 Flash88.7%SourceGemini 3.8 Live Extended Thinking—Not directly comparable
SWE-bench (Vals)
Gemini 3.7 Flash80.8%SourceGemini 3.8 Live Extended Thinking—Not directly comparable
Reasoning
MRCR v2 64K-128K
Gemini 3.7 Flash97%SourceGemini 3.8 Live Extended Thinking—Not directly comparable
Knowledge
HLE-Verified
Gemini 3.7 Flash53.6%SourceGemini 3.8 Live Extended Thinking—Not directly comparable
LABBench2
Gemini 3.7 Flash82.1%SourceGemini 3.8 Live Extended Thinking—Not directly comparable
BioMysteryBench (human-solvable)
Gemini 3.7 Flash87.1%SourceGemini 3.8 Live Extended Thinking—Not directly comparable
BioMysteryBench (human-difficult)
Gemini 3.7 Flash43.5%SourceGemini 3.8 Live Extended Thinking—Not directly comparable
GPQA Diamond (Vals)
Gemini 3.7 Flash93.9%SourceGemini 3.8 Live Extended Thinking—Not directly comparable
MMLU-Pro (Vals)
Gemini 3.7 Flash90.1%SourceGemini 3.8 Live Extended Thinking—Not directly comparable
Multimodal
Frequently asked questions
Which is better, Gemini 3.7 Flash or Gemini 3.8 Live Extended Thinking?
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. The page therefore keeps the decision tied to the specific documented workload.
Which is better for coding, Gemini 3.7 Flash or Gemini 3.8 Live Extended Thinking?
Gemini 3.8 Live Extended Thinking is not ranked on the public lane for coding, so no winner is named for coding.
Which is better for agentic tasks, Gemini 3.7 Flash or Gemini 3.8 Live Extended Thinking?
Gemini 3.8 Live Extended Thinking is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Which costs less, Gemini 3.7 Flash or Gemini 3.8 Live Extended Thinking?
For the stated presets, chat costs $0.00263 on Gemini 3.7 Flash and $0.003 on Gemini 3.8 Live Extended Thinking; repository review costs $0.04875 and $0.051; the cache-heavy agent loop costs $0.0675 and $0.21. Gemini 3.8 Live Extended Thinking does not fit this workload in one request. Gemini 3.8 Live Extended Thinking has no published cached-input rate, so cached tokens use its listed input rate.
Which has the larger context window, Gemini 3.7 Flash or Gemini 3.8 Live Extended Thinking?
Gemini 3.7 Flash has the larger documented context window: 1M, compared with 128K.
Related comparisons
Last updated September 15, 2026
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