Agentic
Like-for-like- Gemini 3.5 Flash
- 50.6
- Supported · #61/151
- Gemini 3.6 Flash
- 50.7
- Supported · #60/151
- Basis
- BenchAlign lane · 8 vs 2 public rows
- Reading
- Practical tie
Gemini 3.5 Flash vs Gemini 3.6 Flash
Updated September 4, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
Gemini 3.6 Flash has the higher public score estimate, 70.11 versus 70.01, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.
7 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.
Coding work
Code generation, repair, and software-engineering tasks
Gemini 3.6 Flash
Gemini 3.6 Flash leads on the public coding lane, 58.9 to 57.7, with Supported evidence for both models, although the 90% intervals overlap.
Confidence: limited
Chat turn cost
1K fresh input + 500 output tokens
Gemini 3.6 Flash
Gemini 3.6 Flash has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Cache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Gemini 3.6 Flash
Gemini 3.6 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 3.6 Flash
Gemini 3.6 Flash has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Agentic work
Tool use, computer use, and multi-step task completion
No clear pick
The like-for-like agentic result is a practical tie on the public lane (within 0.5 points).
Confidence: limited
Long documents
Prompts that approach the documented context limit
No clear pick
The documented context windows are equal.
Confidence: documented
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
20 Gemini 3.5 Flash only
7 Shared
1 Gemini 3.6 Flash only
- Shared results
- 7
- Gemini 3.5 Flash only
- 20
- Gemini 3.6 Flash only
- 1
- Like-for-like categories
- 3 / 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
Like-for-like- Gemini 3.5 Flash
- 57.7
- Supported · #34/183
- Gemini 3.6 Flash
- 58.9
- Supported · #30/183
- Basis
- BenchAlign lane · 7 vs 4 public rows
- Reading
- Gemini 3.6 Flash leads · intervals overlap
Knowledge
Like-for-like- Gemini 3.5 Flash
- 68.5
- Supported · #19/181
- Gemini 3.6 Flash
- 68.6
- Supported · #18/181
- Basis
- BenchAlign lane · 4 vs 2 public rows
- Reading
- Practical tie
Reasoning
Not comparable- Gemini 3.5 Flash
- 60.3
- #17/22
- Gemini 3.6 Flash
- 77.8
- Unranked · 2 rankable rows
- Basis
- Provisional lane · 2 vs 0 weighted rows
- Reading
- Not comparable
Math
Not comparable- Gemini 3.5 Flash
- 55.2
- Unranked · 2 rankable rows
- Gemini 3.6 Flash
- Not ranked
- Basis
- Provisional lane · 2 vs 0 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- Gemini 3.5 Flash
- Not ranked
- Gemini 3.6 Flash
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- Gemini 3.5 Flash
- 85.9
- #6/48
- Gemini 3.6 Flash
- 82.3
- Unranked · 1 rankable row
- Basis
- Provisional lane · 2 vs 0 weighted rows
- Reading
- Not comparable
Instruction following
Not comparable- Gemini 3.5 Flash
- 86.9
- #34/120
- Gemini 3.6 Flash
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
| Category | Gemini 3.5 Flash | Gemini 3.6 Flash | Basis | Reading |
|---|---|---|---|---|
| Agentic | 50.6Supported · #61/151 | 50.7Supported · #60/151 | Like-for-likeBenchAlign lane · 8 vs 2 public rows | Practical tie |
| Coding | 57.7Supported · #34/183 | 58.9Supported · #30/183 | Like-for-likeBenchAlign lane · 7 vs 4 public rows | Gemini 3.6 Flash leads · intervals overlap |
| Knowledge | 68.5Supported · #19/181 | 68.6Supported · #18/181 | Like-for-likeBenchAlign lane · 4 vs 2 public rows | Practical tie |
| Reasoning | 60.3#17/22 | 77.8Unranked · 2 rankable rows | Not comparableProvisional lane · 2 vs 0 weighted rows | Not comparable |
| Math | 55.2Unranked · 2 rankable rows | Not ranked | Not comparableProvisional lane · 2 vs 0 weighted rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | 85.9#6/48 | 82.3Unranked · 1 rankable row | Not comparableProvisional lane · 2 vs 0 weighted rows | Not comparable |
| Instruction following | 86.9#34/120 | 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.
Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.
cursorBench32
Coding
OSWorld-Verified
Agentic
Gemini 3.5 Flash: 78.4%Gemini 3.6 Flash: 83%Normalized gap 4.6Gemini 3.5 Flash source Gemini 3.6 Flash sourceLiveCodeBench (Vals)
Coding
Gemini 3.5 Flash: 87.6%Gemini 3.6 Flash: 88.1%Normalized gap 0.5Gemini 3.5 Flash source Gemini 3.6 Flash sourceMMLU-Pro (Vals)
Knowledge
Gemini 3.5 Flash: 89.5%Gemini 3.6 Flash: 89.3%Normalized gap 0.2Gemini 3.5 Flash source Gemini 3.6 Flash source
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 3.5 Flash
- $0.006
- Fits in one request
- Gemini 3.6 Flash
- $0.00525
- Fits in one request
Gemini 3.6 Flash has the lower modeled cost
Costs use the listed standard API rates.
Repository review
50K fresh input + 3K output tokens
- Gemini 3.5 Flash
- $0.102
- Fits in one request
- Gemini 3.6 Flash
- $0.0975
- Fits in one request
Gemini 3.6 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 3.5 Flash
- $0.15
- Fits in one request
- Gemini 3.6 Flash
- $0.135
- Fits in one request
Gemini 3.6 Flash has the lower modeled cost
Costs use the listed standard API rates.
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationGemini 3.5 FlashGemini 3.6 Flash
Context window
Maximum documented context; output-token limits may be lower.
Gemini 3.5 Flash
Gemini 3.6 Flash
API model ID
Gemini 3.5 Flash
gemini-3.5-flash
Google Gemini API pricingGemini 3.6 Flash
gemini-3.6-flash
Google Gemini 3.6 Flash model documentationCached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Gemini 3.5 Flash
$0.15 per 1M cached input tokens
Google Gemini API pricingGemini 3.6 Flash
$0.15 per 1M cached input tokens
Google Gemini API pricingDocumented inputs
Gemini 3.5 Flash
Not sourced
Gemini 3.6 Flash
text, image, video, audio, pdf
Google Gemini 3.6 Flash model documentationDocumented outputs
Gemini 3.5 Flash
Not sourced
Gemini 3.6 Flash
Provider availability
Gemini 3.5 Flash
Not sourced
Gemini 3.6 Flash
Generally Available · Gemini API, Google AI Studio
Google latest Gemini model guideReasoning profile
Gemini 3.5 Flash
Reasoning
Gemini 3.6 Flash
Reasoning
Weight access
Gemini 3.5 Flash
Proprietary
Gemini 3.6 Flash
Proprietary
License
Gemini 3.5 Flash
Proprietary
Gemini 3.6 Flash
Proprietary
Release date
Gemini 3.5 Flash
2026-05-19
Gemini 3.6 Flash
2026-07-21
If you are considering the documented upgrade path
- Deployment change
- Both entries list Google as the provider. Confirm endpoint, model ID, limits, and feature support before switching.
- Quality signal
- Gemini 3.6 Flash has the higher public score estimate, 70.11 versus 70.01, but the 90% score intervals overlap.
- Workload cost
- Repository review: $0.102 vs $0.0975. Cache-heavy agent loop: $0.15 vs $0.135.
- Context tradeoff
- Both models list 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 evidence28 rows
Agentic
Terminal-Bench 2.0
Gemini 3.5 Flash76.2%SourceGemini 3.6 Flash—Not directly comparable
MCP Atlas
Gemini 3.5 Flash83.6%SourceGemini 3.6 Flash—Not directly comparable
Toolathlon
Gemini 3.5 Flash56.5%SourceGemini 3.6 Flash—Not directly comparable
OSWorld-Verified
Gemini 3.5 Flash78.4%SourceGemini 3.6 Flash83%SourceGemini 3.6 Flash leads this result
Finance Agent v2
Gemini 3.5 Flash57.9%SourceGemini 3.6 Flash—Not directly comparable
Gert Labs
Gemini 3.5 Flash61.85%SourceGemini 3.6 Flash—Not directly comparable
ResearchClawBench
Gemini 3.5 Flash18.0%SourceGemini 3.6 Flash—Not directly comparable
Terminal-Bench 2.1 (Vals)
Gemini 3.5 Flash74.2%SourceGemini 3.6 Flash73.8%SourceGemini 3.5 Flash leads this result
Coding
Terminal-Bench 2.0
Gemini 3.5 Flash76.2%SourceGemini 3.6 Flash—Not directly comparable
SWE-bench Pro
Gemini 3.5 Flash55.1%SourceGemini 3.6 Flash—Not directly comparable
Vibe Code Bench
Gemini 3.5 Flash48.68%SourceGemini 3.6 Flash—Not directly comparable
cursorBench31
Gemini 3.5 Flash49.8%SourceGemini 3.6 Flash—Not directly comparable
cursorBench32
Shared sourceGemini 3.5 Flash48.8%Gemini 3.6 Flash53.5%Gemini 3.6 Flash leads this result
LiveCodeBench (Vals)
Gemini 3.5 Flash87.6%SourceGemini 3.6 Flash88.1%SourceGemini 3.6 Flash leads this result
SWE-bench (Vals)
Gemini 3.5 Flash78.8%SourceGemini 3.6 Flash79.6%SourceGemini 3.6 Flash leads this result
deepSwe
Gemini 3.5 Flash—Gemini 3.6 Flash49%SourceNot directly comparable
Reasoning
Knowledge
GPQA-D
Gemini 3.5 Flash92.7%SourceGemini 3.6 Flash—Not directly comparable
HLE
Gemini 3.5 Flash40.2%SourceGemini 3.6 Flash—Not directly comparable
GPQA Diamond (Vals)
Gemini 3.5 Flash92.7%SourceGemini 3.6 Flash93.4%SourceGemini 3.6 Flash leads this result
MMLU-Pro (Vals)
Gemini 3.5 Flash89.5%SourceGemini 3.6 Flash89.3%SourceGemini 3.5 Flash leads this result
Math
Multimodal
Frequently asked questions
Which is better, Gemini 3.5 Flash or Gemini 3.6 Flash?
Gemini 3.6 Flash has the higher public score estimate, 70.11 versus 70.01, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.
Which is better for coding, Gemini 3.5 Flash or Gemini 3.6 Flash?
Gemini 3.6 Flash leads the public coding lane, 58.9 to 57.7, with Supported evidence for both models, although the 90% intervals overlap.
Which is better for agentic tasks, Gemini 3.5 Flash or Gemini 3.6 Flash?
The like-for-like agentic tasks row is a practical tie on the public lane, 50.6 against 50.7, inside the 0.5-point band BenchLM treats as level.
Which costs less, Gemini 3.5 Flash or Gemini 3.6 Flash?
For the stated presets, chat costs $0.006 on Gemini 3.5 Flash and $0.00525 on Gemini 3.6 Flash; repository review costs $0.102 and $0.0975; the cache-heavy agent loop costs $0.15 and $0.135. Costs use the listed standard API rates.
Which has the larger context window, Gemini 3.5 Flash or Gemini 3.6 Flash?
Both models list the same context window, 1M.
Related comparisons
Last updated September 4, 2026
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