Agentic
Directional only- Gemini 3.1 Flash-Lite
- 43.3
- Estimated · #105/151
- Gemini 3.6 Flash
- 50.7
- Supported · #60/151
- Basis
- BenchAlign lane · 2 vs 2 public rows
- Reading
- Directional only
Gemini 3.1 Flash-Lite 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 56.13, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.
5 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.
Chat turn cost
1K fresh input + 500 output tokens
Gemini 3.1 Flash-Lite
Gemini 3.1 Flash-Lite 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 3.1 Flash-Lite
Gemini 3.1 Flash-Lite 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 3.1 Flash-Lite
Gemini 3.1 Flash-Lite 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 3.1 Flash-Lite is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Gemini 3.1 Flash-Lite is scored on Estimated evidence for agentic, so the reading is directional rather than like-for-like.
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.
3 Gemini 3.1 Flash-Lite only
5 Shared
3 Gemini 3.6 Flash only
- Shared results
- 5
- Gemini 3.1 Flash-Lite only
- 3
- Gemini 3.6 Flash only
- 3
- Like-for-like categories
- 0 / 8
3 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.
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
Directional only- Gemini 3.1 Flash-Lite
- 38.1
- Estimated · #148/183
- Gemini 3.6 Flash
- 58.9
- Supported · #30/183
- Basis
- BenchAlign lane · 3 vs 4 public rows
- Reading
- Directional only
Knowledge
Directional only- Gemini 3.1 Flash-Lite
- 51.7
- Estimated · #79/181
- Gemini 3.6 Flash
- 68.6
- Supported · #18/181
- Basis
- BenchAlign lane · 2 vs 2 public rows
- Reading
- Directional only
Reasoning
Not comparable- Gemini 3.1 Flash-Lite
- Not ranked
- Gemini 3.6 Flash
- 77.8
- Unranked · 2 rankable rows
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Math
Not comparable- Gemini 3.1 Flash-Lite
- Not ranked
- Gemini 3.6 Flash
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- Gemini 3.1 Flash-Lite
- Not ranked
- Gemini 3.6 Flash
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- Gemini 3.1 Flash-Lite
- 37.2
- Unranked · 1 rankable row
- Gemini 3.6 Flash
- 82.3
- Unranked · 1 rankable row
- Basis
- Provisional lane · 1 vs 0 weighted rows
- Reading
- Not comparable
Instruction following
Not comparable- Gemini 3.1 Flash-Lite
- Not ranked
- Gemini 3.6 Flash
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
| Category | Gemini 3.1 Flash-Lite | Gemini 3.6 Flash | Basis | Reading |
|---|---|---|---|---|
| Agentic | 43.3Estimated · #105/151 | 50.7Supported · #60/151 | Directional onlyBenchAlign lane · 2 vs 2 public rows | Directional only |
| Coding | 38.1Estimated · #148/183 | 58.9Supported · #30/183 | Directional onlyBenchAlign lane · 3 vs 4 public rows | Directional only |
| Knowledge | 51.7Estimated · #79/181 | 68.6Supported · #18/181 | Directional onlyBenchAlign lane · 2 vs 2 public rows | Directional only |
| Reasoning | Not ranked | 77.8Unranked · 2 rankable rows | Not comparableProvisional lane · 0 vs 0 weighted 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 | 37.2Unranked · 1 rankable row | 82.3Unranked · 1 rankable row | 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.
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.
LiveCodeBench (Vals)
Coding
Gemini 3.1 Flash-Lite: 80.1%Gemini 3.6 Flash: 88.1%Normalized gap 8.0Gemini 3.1 Flash-Lite source Gemini 3.6 Flash sourceMMLU-Pro (Vals)
Knowledge
Gemini 3.1 Flash-Lite: 86.2%Gemini 3.6 Flash: 89.3%Normalized gap 3.1Gemini 3.1 Flash-Lite 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 3.1 Flash-Lite
- $0.001
- Fits in one request
- Gemini 3.6 Flash
- $0.00525
- Fits in one request
Gemini 3.1 Flash-Lite has the lower modeled cost
Costs use the listed standard API rates.
Repository review
50K fresh input + 3K output tokens
- Gemini 3.1 Flash-Lite
- $0.017
- Fits in one request
- Gemini 3.6 Flash
- $0.0975
- Fits in one request
Gemini 3.1 Flash-Lite 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 3.1 Flash-Lite
- $0.025
- Fits in one request
- Gemini 3.6 Flash
- $0.135
- Fits in one request
Gemini 3.1 Flash-Lite 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 3.1 Flash-LiteGemini 3.6 Flash
Context window
Maximum documented context; output-token limits may be lower.
Gemini 3.1 Flash-Lite
Gemini 3.6 Flash
API model ID
Gemini 3.1 Flash-Lite
gemini-3.1-flash-lite
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 3.1 Flash-Lite
$0.025 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 3.1 Flash-Lite
Not sourced
Gemini 3.6 Flash
text, image, video, audio, pdf
Google Gemini 3.6 Flash model documentationDocumented outputs
Gemini 3.1 Flash-Lite
Not sourced
Gemini 3.6 Flash
Provider availability
Gemini 3.1 Flash-Lite
Not sourced
Gemini 3.6 Flash
Generally Available · Gemini API, Google AI Studio
Google latest Gemini model guideReasoning profile
Gemini 3.1 Flash-Lite
Non-Reasoning
Gemini 3.6 Flash
Reasoning
Weight access
Gemini 3.1 Flash-Lite
Proprietary
Gemini 3.6 Flash
Proprietary
License
Gemini 3.1 Flash-Lite
Proprietary
Gemini 3.6 Flash
Proprietary
Release date
Gemini 3.1 Flash-Lite
2026-03-03
Gemini 3.6 Flash
2026-07-21
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 3.6 Flash has the higher public score estimate, 70.11 versus 56.13, but the 90% score intervals overlap.
- Workload cost
- Repository review: $0.017 vs $0.0975. Cache-heavy agent loop: $0.025 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 evidence11 rows
Agentic
Coding
Vibe Code Bench
Gemini 3.1 Flash-Lite0.00%SourceGemini 3.6 Flash—Not directly comparable
LiveCodeBench (Vals)
Gemini 3.1 Flash-Lite80.1%SourceGemini 3.6 Flash88.1%SourceGemini 3.6 Flash leads this result
SWE-bench (Vals)
Gemini 3.1 Flash-Lite62.8%SourceGemini 3.6 Flash79.6%SourceGemini 3.6 Flash leads this result
deepSwe
Gemini 3.1 Flash-Lite—Gemini 3.6 Flash49%SourceNot directly comparable
cursorBench32
Gemini 3.1 Flash-Lite—Gemini 3.6 Flash53.5%SourceNot directly comparable
Knowledge
Multimodal
CharXiv
Gemini 3.1 Flash-Lite73.2%SourceGemini 3.6 Flash—Not directly comparable
Frequently asked questions
Which is better, Gemini 3.1 Flash-Lite or Gemini 3.6 Flash?
Gemini 3.6 Flash has the higher public score estimate, 70.11 versus 56.13, 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 3.1 Flash-Lite or Gemini 3.6 Flash?
Gemini 3.6 Flash scores higher for coding on the public lane, 58.9 to 38.1. Gemini 3.1 Flash-Lite 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 3.1 Flash-Lite or Gemini 3.6 Flash?
Gemini 3.6 Flash scores higher for agentic tasks on the public lane, 50.7 to 43.3. Gemini 3.1 Flash-Lite is scored on Estimated evidence for agentic tasks, so the reading is directional rather than like-for-like. BenchLM does not name a winner for agentic tasks from a directional reading; read the shared benchmark rows directly and test the models on the same task set.
Which costs less, Gemini 3.1 Flash-Lite or Gemini 3.6 Flash?
For the stated presets, chat costs $0.001 on Gemini 3.1 Flash-Lite and $0.00525 on Gemini 3.6 Flash; repository review costs $0.017 and $0.0975; the cache-heavy agent loop costs $0.025 and $0.135. Costs use the listed standard API rates.
Which has the larger context window, Gemini 3.1 Flash-Lite or Gemini 3.6 Flash?
Both models list the same context window, 1M.
Related comparisons
Last updated September 4, 2026
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