Agentic
Like-for-like- Claude Opus 4.7
- 58.5
- Supported · #33/151
- Gemini 3.6 Flash
- 50.7
- Supported · #60/151
- Basis
- BenchAlign lane · 4 vs 2 public rows
- Reading
- Claude Opus 4.7 leads · intervals overlap
Claude Opus 4.7 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
Claude Opus 4.7 has the higher public score estimate, 70.22 versus 70.11, 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.
Coding work
Code generation, repair, and software-engineering tasks
Claude Opus 4.7
Claude Opus 4.7 leads on the public coding lane, 62.7 to 58.9, with Supported evidence for both models, although the 90% intervals overlap.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Claude Opus 4.7
Claude Opus 4.7 leads on the public agentic lane, 58.5 to 50.7, 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
Show secondary and unsupported calls
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. Claude Opus 4.7 has no published cached-input rate, so cached tokens use its listed input rate.
Confidence: rate-fallback
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
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.
8 Claude Opus 4.7 only
5 Shared
3 Gemini 3.6 Flash only
- Shared results
- 5
- Claude Opus 4.7 only
- 8
- Gemini 3.6 Flash only
- 3
- Like-for-like categories
- 2 / 8
1 category rests 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
Like-for-like- Claude Opus 4.7
- 62.7
- Supported · #15/183
- Gemini 3.6 Flash
- 58.9
- Supported · #30/183
- Basis
- BenchAlign lane · 5 vs 4 public rows
- Reading
- Claude Opus 4.7 leads · intervals overlap
Knowledge
Directional only- Claude Opus 4.7
- 64.9
- Estimated · #26/181
- Gemini 3.6 Flash
- 68.6
- Supported · #18/181
- Basis
- BenchAlign lane · 2 vs 2 public rows
- Reading
- Directional only
Reasoning
Not comparable- Claude Opus 4.7
- 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- Claude Opus 4.7
- 60.8
- Unranked · 2 rankable rows
- Gemini 3.6 Flash
- Not ranked
- Basis
- Provisional lane · 2 vs 0 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- Claude Opus 4.7
- Not ranked
- Gemini 3.6 Flash
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- Claude Opus 4.7
- Not ranked
- Gemini 3.6 Flash
- 82.3
- Unranked · 1 rankable row
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Instruction following
Not comparable- Claude Opus 4.7
- Not ranked
- Gemini 3.6 Flash
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
| Category | Claude Opus 4.7 | Gemini 3.6 Flash | Basis | Reading |
|---|---|---|---|---|
| Agentic | 58.5Supported · #33/151 | 50.7Supported · #60/151 | Like-for-likeBenchAlign lane · 4 vs 2 public rows | Claude Opus 4.7 leads · intervals overlap |
| Coding | 62.7Supported · #15/183 | 58.9Supported · #30/183 | Like-for-likeBenchAlign lane · 5 vs 4 public rows | Claude Opus 4.7 leads · intervals overlap |
| Knowledge | 64.9Estimated · #26/181 | 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 | 60.8Unranked · 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 | Not ranked | 82.3Unranked · 1 rankable row | Not comparableProvisional lane · 0 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
Claude Opus 4.7: 85.1%Gemini 3.6 Flash: 88.1%Normalized gap 3.0Claude Opus 4.7 source Gemini 3.6 Flash sourceMMLU-Pro (Vals)
Knowledge
Claude Opus 4.7: 89.9%Gemini 3.6 Flash: 89.3%Normalized gap 0.6Claude Opus 4.7 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
- Claude Opus 4.7
- $0.0175
- 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
- Claude Opus 4.7
- $0.325
- 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
- Claude Opus 4.7
- $1.35
- Fits in one request
- Cached input priced at the published list-input rate
- Gemini 3.6 Flash
- $0.135
- Fits in one request
Gemini 3.6 Flash has the lower modeled cost
Claude Opus 4.7 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 Opus 4.7Gemini 3.6 Flash
Context window
Maximum documented context; output-token limits may be lower.
Claude Opus 4.7
Gemini 3.6 Flash
API model ID
Claude Opus 4.7
claude-opus-4-7
Anthropic model ID documentationGemini 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.
Claude Opus 4.7
Not published
Gemini 3.6 Flash
$0.15 per 1M cached input tokens
Google Gemini API pricingDocumented inputs
Claude Opus 4.7
text, image
Anthropic model overviewGemini 3.6 Flash
text, image, video, audio, pdf
Google Gemini 3.6 Flash model documentationDocumented outputs
Claude Opus 4.7
Gemini 3.6 Flash
Provider availability
Claude Opus 4.7
Generally Available · Claude API
Anthropic model overviewGemini 3.6 Flash
Generally Available · Gemini API, Google AI Studio
Google latest Gemini model guideReasoning profile
Claude Opus 4.7
Non-Reasoning
Gemini 3.6 Flash
Reasoning
Weight access
Claude Opus 4.7
Proprietary
Gemini 3.6 Flash
Proprietary
License
Claude Opus 4.7
Proprietary
Gemini 3.6 Flash
Proprietary
Release date
Claude Opus 4.7
2026-04-16
Gemini 3.6 Flash
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
- Claude Opus 4.7 has the higher public score estimate, 70.22 versus 70.11, but the 90% score intervals overlap.
- Workload cost
- Repository review: $0.325 vs $0.0975. Cache-heavy agent loop: $1.35 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 evidence16 rows
Agentic
Gert Labs
Claude Opus 4.765.59%SourceGemini 3.6 Flash—Not directly comparable
ResearchClawBench
Claude Opus 4.720.7%SourceGemini 3.6 Flash—Not directly comparable
OSWorld 2.0
Claude Opus 4.713.9%SourceGemini 3.6 Flash—Not directly comparable
Terminal-Bench 2.1 (Vals)
Claude Opus 4.768.5%SourceGemini 3.6 Flash73.8%SourceGemini 3.6 Flash leads this result
OSWorld-Verified
Claude Opus 4.7—Gemini 3.6 Flash83%SourceNot directly comparable
Coding
Vibe Code Bench
Claude Opus 4.771.00%SourceGemini 3.6 Flash—Not directly comparable
React Native Evals
Claude Opus 4.782.8%SourceGemini 3.6 Flash—Not directly comparable
FrontierCode 1.1 Main
Claude Opus 4.738.5%SourceGemini 3.6 Flash—Not directly comparable
LiveCodeBench (Vals)
Claude Opus 4.785.1%SourceGemini 3.6 Flash88.1%SourceGemini 3.6 Flash leads this result
SWE-bench (Vals)
Claude Opus 4.782.0%SourceGemini 3.6 Flash79.6%SourceClaude Opus 4.7 leads this result
deepSwe
Claude Opus 4.7—Gemini 3.6 Flash49%SourceNot directly comparable
cursorBench32
Claude Opus 4.7—Gemini 3.6 Flash53.5%SourceNot directly comparable
Knowledge
Math
Frequently asked questions
Which is better, Claude Opus 4.7 or Gemini 3.6 Flash?
Claude Opus 4.7 has the higher public score estimate, 70.22 versus 70.11, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.
Which is better for coding, Claude Opus 4.7 or Gemini 3.6 Flash?
Claude Opus 4.7 leads the public coding lane, 62.7 to 58.9, with Supported evidence for both models, although the 90% intervals overlap.
Which is better for agentic tasks, Claude Opus 4.7 or Gemini 3.6 Flash?
Claude Opus 4.7 leads the public agentic tasks lane, 58.5 to 50.7, with Supported evidence for both models, although the 90% intervals overlap.
Which costs less, Claude Opus 4.7 or Gemini 3.6 Flash?
For the stated presets, chat costs $0.0175 on Claude Opus 4.7 and $0.00525 on Gemini 3.6 Flash; repository review costs $0.325 and $0.0975; the cache-heavy agent loop costs $1.35 and $0.135. Claude Opus 4.7 has no published cached-input rate, so cached tokens use its listed input rate.
Which has the larger context window, Claude Opus 4.7 or Gemini 3.6 Flash?
Both models list the same context window, 1M.
Related comparisons
Last updated September 4, 2026
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