Coding
Like-for-like- Claude 4 Sonnet
- 38.0
- Supported · #149/183
- Gemini 3.5 Flash-Lite
- 43.6
- Supported · #121/183
- Basis
- BenchAlign lane · 1 vs 4 public rows
- Reading
- Gemini 3.5 Flash-Lite leads · intervals overlap
Claude 4 Sonnet vs Gemini 3.5 Flash-Lite
Updated September 4, 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.
Coding work
Code generation, repair, and software-engineering tasks
Gemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite leads on the public coding lane, 43.6 to 38, with Supported evidence for both models, although the 90% intervals overlap.
Confidence: limited
Long documents
Prompts that approach the documented context limit
Gemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite has the larger documented context window.
Confidence: documented
Chat turn cost
1K fresh input + 500 output tokens
Gemini 3.5 Flash-Lite
Gemini 3.5 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 3.5 Flash-Lite
Gemini 3.5 Flash-Lite 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
Not enough matched evidence
Claude 4 Sonnet and Gemini 3.5 Flash-Lite are scored on Estimated evidence for agentic, so the reading is directional rather than like-for-like.
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. Claude 4 Sonnet does not fit this workload in one request. Claude 4 Sonnet 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.
3 Claude 4 Sonnet only
10 Gemini 3.5 Flash-Lite only
- Shared results
- 0
- Claude 4 Sonnet only
- 3
- Gemini 3.5 Flash-Lite only
- 10
- Like-for-like categories
- 1 / 8
2 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.
Agentic
Directional only- Claude 4 Sonnet
- 42.3
- Estimated · #115/151
- Gemini 3.5 Flash-Lite
- 43.4
- Estimated · #104/151
- Basis
- BenchAlign lane · 2 vs 3 public rows
- Reading
- Directional only
Knowledge
Directional only- Claude 4 Sonnet
- 41.1
- Estimated · #134/181
- Gemini 3.5 Flash-Lite
- 53.0
- Supported · #71/181
- Basis
- BenchAlign lane · 0 vs 2 public rows
- Reading
- Directional only
Reasoning
Not comparable- Claude 4 Sonnet
- 53.9
- Unranked · 2 rankable rows
- Gemini 3.5 Flash-Lite
- 60.8
- Unranked · 3 rankable rows
- Basis
- Provisional lane · 0 vs 1 weighted rows
- Reading
- Not comparable
Math
Not comparable- Claude 4 Sonnet
- Not ranked
- Gemini 3.5 Flash-Lite
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- Claude 4 Sonnet
- Not ranked
- Gemini 3.5 Flash-Lite
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- Claude 4 Sonnet
- 51.7
- Unranked · 1 rankable row
- Gemini 3.5 Flash-Lite
- 76.1
- #16/48
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Instruction following
Not comparable- Claude 4 Sonnet
- 53.4
- #75/120
- Gemini 3.5 Flash-Lite
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
| Category | Claude 4 Sonnet | Gemini 3.5 Flash-Lite | Basis | Reading |
|---|---|---|---|---|
| Coding | 38.0Supported · #149/183 | 43.6Supported · #121/183 | Like-for-likeBenchAlign lane · 1 vs 4 public rows | Gemini 3.5 Flash-Lite leads · intervals overlap |
| Agentic | 42.3Estimated · #115/151 | 43.4Estimated · #104/151 | Directional onlyBenchAlign lane · 2 vs 3 public rows | Directional only |
| Knowledge | 41.1Estimated · #134/181 | 53.0Supported · #71/181 | Directional onlyBenchAlign lane · 0 vs 2 public rows | Directional only |
| Reasoning | 53.9Unranked · 2 rankable rows | 60.8Unranked · 3 rankable rows | Not comparableProvisional lane · 0 vs 1 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 | 51.7Unranked · 1 rankable row | 76.1#16/48 | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Instruction following | 53.4#75/120 | 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.
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
- Claude 4 Sonnet
- $0.0105
- Fits in one request
- Gemini 3.5 Flash-Lite
- $0.00155
- Fits in one request
Gemini 3.5 Flash-Lite has the lower modeled cost
Costs use the listed standard API rates.
Repository review
50K fresh input + 3K output tokens
- Claude 4 Sonnet
- $0.195
- Fits in one request
- Gemini 3.5 Flash-Lite
- $0.0225
- Fits in one request
Gemini 3.5 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
- Claude 4 Sonnet
- $0.81
- Does not fit in one request
- Cached input priced at the published list-input rate
- Gemini 3.5 Flash-Lite
- $0.037
- Fits in one request
Claude 4 Sonnet does not fit this workload in one request. Claude 4 Sonnet 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.
SpecificationClaude 4 SonnetGemini 3.5 Flash-Lite
Context window
Maximum documented context; output-token limits may be lower.
Claude 4 Sonnet
200K
Gemini 3.5 Flash-Lite
API model ID
Claude 4 Sonnet
Not sourced
Gemini 3.5 Flash-Lite
gemini-3.5-flash-lite
Google Gemini 3.5 Flash-Lite model documentationCached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Claude 4 Sonnet
Not published
Gemini 3.5 Flash-Lite
$0.03 per 1M cached input tokens
Google Gemini API pricingDocumented inputs
Claude 4 Sonnet
Not sourced
Gemini 3.5 Flash-Lite
text, image, video, audio, pdf
Google Gemini 3.5 Flash-Lite model documentationDocumented outputs
Claude 4 Sonnet
Not sourced
Gemini 3.5 Flash-Lite
Provider availability
Claude 4 Sonnet
Not sourced
Gemini 3.5 Flash-Lite
Generally Available · Gemini API, Google AI Studio
Google latest Gemini model guideReasoning profile
Claude 4 Sonnet
Non-Reasoning
Gemini 3.5 Flash-Lite
Reasoning
Weight access
Claude 4 Sonnet
Proprietary
Gemini 3.5 Flash-Lite
Proprietary
License
Claude 4 Sonnet
Proprietary
Gemini 3.5 Flash-Lite
Proprietary
Release date
Claude 4 Sonnet
2025-05-01
Gemini 3.5 Flash-Lite
2026-07-21
If you already use one of these models
- Deployment change
- The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
- 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: $0.195 vs $0.0225. Cache-heavy agent loop: $0.81 vs $0.037.
- Context tradeoff
- Gemini 3.5 Flash-Lite 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 evidence13 rows
Agentic
Gert Labs
Claude 4 Sonnet39.66%SourceGemini 3.5 Flash-Lite—Not directly comparable
JobBench
Claude 4 Sonnet18.4%SourceGemini 3.5 Flash-Lite—Not directly comparable
Terminal-Bench 2.0
Claude 4 Sonnet—Gemini 3.5 Flash-Lite54%SourceNot directly comparable
OSWorld-Verified
Claude 4 Sonnet—Gemini 3.5 Flash-Lite74%SourceNot directly comparable
Terminal-Bench 2.1 (Vals)
Claude 4 Sonnet—Gemini 3.5 Flash-Lite50.2%SourceNot directly comparable
Coding
SWE-bench Verified
Claude 4 Sonnet72.7%SourceGemini 3.5 Flash-Lite—Not directly comparable
Terminal-Bench 2.0
Claude 4 Sonnet—Gemini 3.5 Flash-Lite54.0%SourceNot directly comparable
SWE-bench Pro
Claude 4 Sonnet—Gemini 3.5 Flash-Lite54.2%SourceNot directly comparable
LiveCodeBench (Vals)
Claude 4 Sonnet—Gemini 3.5 Flash-Lite79.0%SourceNot directly comparable
SWE-bench (Vals)
Claude 4 Sonnet—Gemini 3.5 Flash-Lite75.0%SourceNot directly comparable
Reasoning
MRCRv2
Claude 4 Sonnet—Gemini 3.5 Flash-Lite72.2%SourceNot directly comparable
Knowledge
Frequently asked questions
Which is better, Claude 4 Sonnet or Gemini 3.5 Flash-Lite?
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, Claude 4 Sonnet or Gemini 3.5 Flash-Lite?
Gemini 3.5 Flash-Lite leads the public coding lane, 43.6 to 38, with Supported evidence for both models, although the 90% intervals overlap.
Which is better for agentic tasks, Claude 4 Sonnet or Gemini 3.5 Flash-Lite?
Gemini 3.5 Flash-Lite scores higher for agentic tasks on the public lane, 43.4 to 42.3. Claude 4 Sonnet and Gemini 3.5 Flash-Lite are 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, Claude 4 Sonnet or Gemini 3.5 Flash-Lite?
For the stated presets, chat costs $0.0105 on Claude 4 Sonnet and $0.00155 on Gemini 3.5 Flash-Lite; repository review costs $0.195 and $0.0225; the cache-heavy agent loop costs $0.81 and $0.037. Claude 4 Sonnet does not fit this workload in one request. Claude 4 Sonnet has no published cached-input rate, so cached tokens use its listed input rate.
Which has the larger context window, Claude 4 Sonnet or Gemini 3.5 Flash-Lite?
Gemini 3.5 Flash-Lite has the larger documented context window: 1M, compared with 200K.
Related comparisons
Last updated September 4, 2026
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