Agentic
Directional only- Claude Opus 4.7 (Adaptive)
- 75.1
- Gemini 3.5 Flash
- 77.2
- Weighted basis
- 3 vs 2 rows
- Reading
- Directional only
Five or fewer confirmed AI changes, with original sources, on mornings when something changed.A free source-linked morning brief.
Start free briefUpdated August 17, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
Claude Opus 4.7 (Adaptive) has the higher public score estimate, 72.13 versus 64.67, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.
9 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.
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.
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-rates
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. Claude Opus 4.7 (Adaptive) has no published cached-input rate, so cached tokens use its listed input rate.
Confidence: rate-fallback
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-rates
Code generation, repair, and software-engineering tasks
Not enough matched evidence
The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.
Confidence: limited
Tool use, computer use, and multi-step task completion
Not enough matched evidence
The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.
Confidence: limited
Prompts that approach the documented context limit
No clear pick
The documented context windows are equal.
Confidence: documented
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
5 categories use different evidence sets. Those rows remain visible for coverage context but do not name a winner.
Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.
| Category | Claude Opus 4.7 (Adaptive) | Gemini 3.5 Flash | Weighted basis | Reading |
|---|---|---|---|---|
| Agentic | 75.1 | 77.2 | Directional only3 vs 2 rows | Directional only |
| Coding | 78.6 | 55.1 | Directional only2 vs 1 rows | Directional only |
| Reasoning | 75.8 | 74.7 | Directional only1 vs 2 rows | Directional only |
| Knowledge | 60.0 | 40.2 | Directional only2 vs 1 rows | Directional only |
| Multimodal | 65.1 | 83.8 | Directional only2 vs 2 rows | Directional only |
| Math | Not measured | 32.9 | Not comparable0 vs 2 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Instruction following | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
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.
HLE
Knowledge
SWE-bench Pro
Coding
Terminal-Bench 2.0
Agentic
CharXiv
Multimodal
ARC-AGI-2
Reasoning
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.
1K fresh input + 500 output tokens
Gemini 3.5 Flash has the lower modeled cost
Costs use the listed standard API rates.
50K fresh input + 3K output tokens
Gemini 3.5 Flash has the lower modeled cost
Costs use the listed standard API rates.
200K cached + 20K fresh input + 10K output tokens
Gemini 3.5 Flash has the lower modeled cost
Claude Opus 4.7 (Adaptive) has no published cached-input rate, so cached tokens use its listed input rate.
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
Maximum documented context; output-token limits may be lower.
Claude Opus 4.7 (Adaptive)
1M
Gemini 3.5 Flash
Claude Opus 4.7 (Adaptive)
Not sourced
Gemini 3.5 Flash
gemini-3.5-flash
Google Gemini API pricingA missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Claude Opus 4.7 (Adaptive)
Not published
Gemini 3.5 Flash
$0.15 per 1M cached input tokens
Google Gemini API pricingClaude Opus 4.7 (Adaptive)
Not sourced
Gemini 3.5 Flash
Not sourced
Claude Opus 4.7 (Adaptive)
Not sourced
Gemini 3.5 Flash
Not sourced
Claude Opus 4.7 (Adaptive)
Not sourced
Gemini 3.5 Flash
Not sourced
Claude Opus 4.7 (Adaptive)
Reasoning
Gemini 3.5 Flash
Reasoning
Claude Opus 4.7 (Adaptive)
Proprietary
Gemini 3.5 Flash
Proprietary
Claude Opus 4.7 (Adaptive)
Proprietary
Gemini 3.5 Flash
Proprietary
Claude Opus 4.7 (Adaptive)
2026-04-16
Gemini 3.5 Flash
2026-05-19
Run the same representative tasks against both endpoints before changing production traffic.
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Terminal-Bench 2.0
Gemini 3.5 Flash leads this result
BrowseComp
Not directly comparable
MCP Atlas
Gemini 3.5 Flash leads this result
OSWorld-Verified
Gemini 3.5 Flash leads this result
CyberGym
Not directly comparable
OSWorld 2.0
Not directly comparable
JobBench
Not directly comparable
Toolathlon
Not directly comparable
Finance Agent v2
Not directly comparable
Gert Labs
Not directly comparable
ResearchClawBench
Not directly comparable
SWE-bench Verified
Not directly comparable
SWE-bench Pro
Claude Opus 4.7 (Adaptive) leads this result
Terminal-Bench 2.0
Gemini 3.5 Flash leads this result
Vibe Code Bench
Not directly comparable
cursorBench31
Not directly comparable
cursorBench32
Not directly comparable
EEBench
Not directly comparable
MRCR v2 128K-256K
Not directly comparable
ARC-AGI-2
Claude Opus 4.7 (Adaptive) leads this result
ARC-AGI-3
Not directly comparable
MRCRv2
Not directly comparable
MRCR 1M
Not directly comparable
GPQA
Not directly comparable
GPQA-D
Claude Opus 4.7 (Adaptive) leads this result
HLE
Claude Opus 4.7 (Adaptive) leads this result
HLE w/o tools
Not directly comparable
FrontierMath (legacy)
Not directly comparable
FrontierMath v2 (Tiers 1-3)
Not directly comparable
FrontierMath v2 (Tier 4)
Not directly comparable
OfficeQA Pro
Not directly comparable
CharXiv
Claude Opus 4.7 (Adaptive) leads this result
CharXiv w/o tools
Not directly comparable
MMMU-Pro
Not directly comparable
Blueprint-Bench 2
Not directly comparable
Claude Opus 4.7 (Adaptive) has the higher public score estimate, 72.13 versus 64.67, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.
The current coding averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.
The current agentic tasks averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.
For the stated presets, chat costs $0.0175 on Claude Opus 4.7 (Adaptive) and $0.006 on Gemini 3.5 Flash; repository review costs $0.325 and $0.102; the cache-heavy agent loop costs $1.35 and $0.15. Claude Opus 4.7 (Adaptive) has no published cached-input rate, so cached tokens use its listed input rate.
Both models list the same context window, 1M.
Last updated August 17, 2026
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