Long documents
Prompts that approach the documented context limit
Gemini 3 Pro
Gemini 3 Pro has the larger documented context window.
Confidence: documented
Gemini 3.5 Flash vs Gemini 3 Pro
Updated October 2, 2026. Rank says Gemini 3.5 Flash is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.
Both of these models will change. Get the price, version and retirement notices for the pair, each with its source. Follow model changes
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Decision reading
Gemini 3.5 Flash has the higher public score estimate, 63.95 versus 61.57, 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.
- Shared results
- 7
- Gemini 3.5 Flash only
- 20
- Gemini 3 Pro only
- 5
- Like-for-like categories
- 1 / 8
Supported: Gemini 3.5 Flash and Gemini 3 ProHow the comparison works
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.
Chat turn cost
1K fresh input + 500 output tokens
Gemini 3.5 Flash
Gemini 3.5 Flash has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-ratesCache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Gemini 3.5 Flash
Gemini 3.5 Flash has the lower estimated token cost for this stated workload. Gemini 3 Pro has no published cached-input rate, so cached tokens use its listed input rate.
Confidence: rate-fallback
Show secondary and unsupported calls
Repository review cost
50K fresh input + 3K output tokens
Gemini 3.5 Flash
Gemini 3.5 Flash has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-ratesCoding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Gemini 3 Pro is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.
Confidence: limitedAgentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Gemini 3 Pro is not ranked on the public lane for agentic, so no winner is named for agentic.
Confidence: limited
Which one for a specific job
Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.
The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.
52.3Gemini 3.5 Flash45.4Gemini 3 Pro
Directional only · BenchAlign v5.8
Gemini 3.5 Flash has the higher coding point estimate. Conditional score ranges do not establish rank confidence.
Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.
Same basis rules as the category table below
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
5 Gemini 3 Pro only
3 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.
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.
ARC-AGI-2Reasoning
Normalized gap 41.0Gemini 3.5 Flash:72.1%Gemini 3 Pro:31.1%FrontierMath v2 (Tier 4)Math
Normalized gap 4.2Gemini 3.5 Flash:14.583%Gemini 3 Pro:18.750%CharXivMultimodal
Normalized gap 2.8Gemini 3.5 Flash:84.2%Gemini 3 Pro:81.4%MMMU-ProMultimodal
Normalized gap 2.6Gemini 3.5 Flash:83.6%Gemini 3 Pro:81%FrontierMath v2 (Tiers 1-3)Math
Normalized gap 1.4Gemini 3.5 Flash:38.966%Gemini 3 Pro:37.600%
Bars run 0–100 on each benchmark’s normalized display scale
Category results, on a stated basis
Each row shows the public-lane category score for both models: the BenchAlign v5.8 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.
Multimodal
Like-for-like- Gemini 3.5 Flash
- 87.8
- #6/49
- Gemini 3 Pro
- 75.2
- #17/49
- Basis
- Provisional lane · 2 vs 2 weighted rows
- Reading
- Gemini 3.5 Flash leads
Coding
Directional only- Gemini 3.5 Flash
- 52.3
- Supported · #39/144
- Gemini 3 Pro
- 45.4
- Estimated · #53/144
- Basis
- BenchAlign v5.8 lane · 7 vs 1 public rows
- Reading
- Directional only
Knowledge
Directional only- Gemini 3.5 Flash
- 64.0
- Supported · #30/171
- Gemini 3 Pro
- 59.2
- Estimated · #43/171
- Basis
- BenchAlign v5.8 lane · 4 vs 0 public rows
- Reading
- Directional only
Instruction following
Directional only- Gemini 3.5 Flash
- 84.1
- #43/125
- Gemini 3 Pro
- 84.7
- #38/125
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Directional only
Agentic
Not comparable- Gemini 3.5 Flash
- 50.7
- Supported · #42/119
- Gemini 3 Pro
- Not ranked
- Basis
- BenchAlign v5.8 lane · 8 vs 2 public rows
- Reading
- Not comparable
Reasoning
Not comparable- Gemini 3.5 Flash
- 62.8
- #20/27
- Gemini 3 Pro
- 46.5
- Unranked · 3 rankable rows
- Basis
- Provisional lane · 2 vs 1 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- Gemini 3.5 Flash
- Not ranked
- Gemini 3 Pro
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Math
Not comparable- Gemini 3.5 Flash
- 55.1
- Unranked · 2 rankable rows
- Gemini 3 Pro
- 55.2
- Unranked · 2 rankable rows
- Basis
- Provisional lane · 2 vs 2 weighted rows
- Reading
- Not comparable
| Category | Gemini 3.5 Flash | Gemini 3 Pro | Basis | Reading |
|---|---|---|---|---|
| Multimodal | 87.8#6/49 | 75.2#17/49 | Like-for-likeProvisional lane · 2 vs 2 weighted rows | Gemini 3.5 Flash leads |
| Coding | 52.3Supported · #39/144 | 45.4Estimated · #53/144 | Directional onlyBenchAlign v5.8 lane · 7 vs 1 public rows | Directional only |
| Knowledge | 64.0Supported · #30/171 | 59.2Estimated · #43/171 | Directional onlyBenchAlign v5.8 lane · 4 vs 0 public rows | Directional only |
| Instruction following | 84.1#43/125 | 84.7#38/125 | Directional onlyProvisional lane · 0 vs 0 weighted rows | Directional only |
| Agentic | 50.7Supported · #42/119 | Not ranked | Not comparableBenchAlign v5.8 lane · 8 vs 2 public rows | Not comparable |
| Reasoning | 62.8#20/27 | 46.5Unranked · 3 rankable rows | Not comparableProvisional lane · 2 vs 1 weighted rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Math | 55.1Unranked · 2 rankable rows | 55.2Unranked · 2 rankable rows | Not comparableProvisional lane · 2 vs 2 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.8) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
Supported evidence per lane · bars run 0–100Methodology
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 Pro
- $0.008
- Fits in one request
Gemini 3.5 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 Pro
- $0.136
- Fits in one request
Gemini 3.5 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 Pro
- $0.56
- Fits in one request
- Cached input priced at the published list-input rate
Gemini 3.5 Flash has the lower modeled cost
Gemini 3 Pro has no published cached-input rate, so cached tokens use its listed input rate.
Cached input falls back to the list input rate only where a cached rate is unpublished
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 Pro
Context window
Maximum documented context; output-token limits may be lower.
Gemini 3.5 Flash
Gemini 3 Pro
2M
API model ID
Gemini 3.5 Flash
gemini-3.5-flash
Google Gemini API pricingGemini 3 Pro
Not sourced
Cached-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 Pro
Not published
Documented inputs
Gemini 3.5 Flash
Not sourced
Gemini 3 Pro
Not sourced
Documented outputs
Gemini 3.5 Flash
Not sourced
Gemini 3 Pro
Not sourced
Provider availability
Gemini 3.5 Flash
Not sourced
Gemini 3 Pro
Not sourced
Reasoning profile
Gemini 3.5 Flash
Reasoning
Gemini 3 Pro
Non-Reasoning
Weight access
Gemini 3.5 Flash
Proprietary
Gemini 3 Pro
Proprietary
License
Gemini 3.5 Flash
Proprietary
Gemini 3 Pro
Proprietary
Release date
Gemini 3.5 Flash
2026-05-19
Gemini 3 Pro
2025-11-18
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
- Gemini 3.5 Flash has the higher public score estimate, 63.95 versus 61.57, but the 90% score intervals overlap.
- Workload cost
- Repository review: $0.102 vs $0.136. Cache-heavy agent loop: $0.15 vs $0.56.
- Context tradeoff
- Gemini 3 Pro has the larger documented window (2M).
Run the same representative tasks against both endpoints before changing production traffic.
Questions
Which is better, Gemini 3.5 Flash or Gemini 3 Pro?
Gemini 3.5 Flash has the higher public score estimate, 63.95 versus 61.57, 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 Pro?
Gemini 3.5 Flash scores higher for coding on the public lane, 52.3 to 45.4. Gemini 3 Pro is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like. BenchLM does not name a winner for coding from a directional reading; read the shared benchmark rows directly and test the models on the same task set.
Which is better for agentic tasks, Gemini 3.5 Flash or Gemini 3 Pro?
Gemini 3 Pro is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Which costs less, Gemini 3.5 Flash or Gemini 3 Pro?
For the stated presets, chat costs $0.006 on Gemini 3.5 Flash and $0.008 on Gemini 3 Pro; repository review costs $0.102 and $0.136; the cache-heavy agent loop costs $0.15 and $0.56. Gemini 3 Pro has no published cached-input rate, so cached tokens use its listed input rate.
Which has the larger context window, Gemini 3.5 Flash or Gemini 3 Pro?
Gemini 3 Pro has the larger documented context window: 2M, compared with 1M.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence32 rows
Agentic
Terminal-Bench 2.1
Gemini 3.5 Flash76.2%SourceGemini 3 Pro—Not directly comparable
MCP Atlas
Gemini 3.5 Flash83.6%SourceGemini 3 Pro—Not directly comparable
Toolathlon
Gemini 3.5 Flash56.5%SourceGemini 3 Pro—Not directly comparable
OSWorld-Verified
Gemini 3.5 Flash78.4%SourceGemini 3 Pro—Not directly comparable
Finance Agent v2
Gemini 3.5 Flash57.9%SourceGemini 3 Pro—Not directly comparable
Gert Labs
Shared sourceGemini 3.5 Flash61.85%Gemini 3 Pro63.23%Gemini 3 Pro leads this result
ResearchClawBench
Gemini 3.5 Flash18.0%SourceGemini 3 Pro—Not directly comparable
Terminal-Bench 2.1 (Vals)
Gemini 3.5 Flash74.2%SourceGemini 3 Pro—Not directly comparable
JobBench
Gemini 3.5 Flash—Gemini 3 Pro11.4%SourceNot directly comparable
Coding
Terminal-Bench 2.1
Gemini 3.5 Flash76.2%SourceGemini 3 Pro—Not directly comparable
SWE-bench Pro
Gemini 3.5 Flash55.1%SourceGemini 3 Pro—Not directly comparable
Vibe Code Bench
Shared sourceGemini 3.5 Flash48.68%Gemini 3 Pro14.30%Gemini 3.5 Flash leads this result
cursorBench31
Gemini 3.5 Flash49.8%SourceGemini 3 Pro—Not directly comparable
CursorBench 3.2
Gemini 3.5 Flash48.8%SourceGemini 3 Pro—Not directly comparable
LiveCodeBench (Vals)
Gemini 3.5 Flash87.6%SourceGemini 3 Pro—Not directly comparable
SWE-bench (Vals)
Gemini 3.5 Flash78.8%SourceGemini 3 Pro—Not directly comparable
Reasoning
Multimodal
CharXiv
Gemini 3.5 Flash84.2%SourceGemini 3 Pro81.4%SourceGemini 3.5 Flash leads this result
MMMU-Pro
Gemini 3.5 Flash83.6%SourceGemini 3 Pro81%SourceGemini 3.5 Flash leads this result
Blueprint-Bench 2
Gemini 3.5 Flash33.6%SourceGemini 3 Pro—Not directly comparable
MathVision
Gemini 3.5 Flash—Gemini 3 Pro86.6%SourceNot directly comparable
VideoMMMU
Gemini 3.5 Flash—Gemini 3 Pro87.6%SourceNot directly comparable
ScreenSpot Pro
Gemini 3.5 Flash—Gemini 3 Pro72.7%SourceNot directly comparable
V*
Gemini 3.5 Flash—Gemini 3 Pro88.0%SourceNot directly comparable
Knowledge
Math
FrontierMath v2 (Tiers 1-3)
Shared sourceGemini 3.5 Flash38.966%Gemini 3 Pro37.600%Gemini 3.5 Flash leads this result
FrontierMath v2 (Tier 4)
Shared sourceGemini 3.5 Flash14.583%Gemini 3 Pro18.750%Gemini 3 Pro leads this result
32 public results · 7 shared
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Last updated October 2, 2026