Agentic
Not comparable- Claude Opus 4.7
- Not measured
- Gemini 3.8 Flash
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Five or fewer confirmed AI changes, with original sources, on mornings when something changed.A free source-linked morning brief.
See the free Radar BriefUpdated September 2, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
Gemini 3.8 Flash has the higher public score estimate, 75.37 versus 72.45, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.
1 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 3.8 Flash
Gemini 3.8 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 3.8 Flash
Gemini 3.8 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
50K fresh input + 3K output tokens
Gemini 3.8 Flash
Gemini 3.8 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
No shared weighted benchmark basis supports a winner.
Confidence: limited
Tool use, computer use, and multi-step task completion
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
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.
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 | Gemini 3.8 Flash | Weighted basis | Reading |
|---|---|---|---|---|
| Agentic | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Coding | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Reasoning | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Knowledge | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Math | 38.6 | Not measured | Not comparable2 vs 0 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multimodal | 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.
A shared-evidence shape is not available.
BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.
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 3.8 Flash has the lower modeled cost
Costs use the listed standard API rates.
50K fresh input + 3K output tokens
Gemini 3.8 Flash has the lower modeled cost
Costs use the listed standard API rates.
200K cached + 20K fresh input + 10K output tokens
Gemini 3.8 Flash has the lower modeled cost
Claude Opus 4.7 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
Gemini 3.8 Flash
Claude Opus 4.7
claude-opus-4-7
Anthropic model ID documentationGemini 3.8 Flash
gemini-3.8-flash
Google Gemini 3.8 Flash API documentationA missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Claude Opus 4.7
Not published
Gemini 3.8 Flash
$0.075 per 1M cached input tokens
Google Gemini API pricingClaude Opus 4.7
text, image
Anthropic model overviewGemini 3.8 Flash
text, image, video, audio, pdf
Google Gemini 3.8 Flash API documentationClaude Opus 4.7
Gemini 3.8 Flash
Claude Opus 4.7
Generally Available · Claude API
Anthropic model overviewGemini 3.8 Flash
Generally Available · Gemini API, Google AI Studio, Android Studio, Stitch, Gemini app, Gemini Enterprise, Google AI Mode, Google Sheets, Google Antigravity
Google Gemini 3.8 Flash and Gemini 3.8 Flash Cyber launchClaude Opus 4.7
Non-Reasoning
Gemini 3.8 Flash
Reasoning
Claude Opus 4.7
Proprietary
Gemini 3.8 Flash
Proprietary
Claude Opus 4.7
Proprietary
Gemini 3.8 Flash
Proprietary
Claude Opus 4.7
2026-04-16
Gemini 3.8 Flash
2026-09-02
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.
Gert Labs
Not directly comparable
ResearchClawBench
Not directly comparable
OSWorld 2.0
Gemini 3.8 Flash leads this result
Finance Agent v2
Not directly comparable
Terminal-Bench 2.1
Not directly comparable
Terminal-Bench 4.0
Not directly comparable
Vibe Code Bench
Not directly comparable
React Native Evals
Not directly comparable
FrontierCode 1.1 Main
Not directly comparable
deepSwe
Not directly comparable
Terminal-Bench 2.1
Not directly comparable
HLE-Verified
Not directly comparable
LABBench2
Not directly comparable
BioMysteryBench (human-solvable)
Not directly comparable
BioMysteryBench (human-difficult)
Not directly comparable
Gemini 3.8 Flash has the higher public score estimate, 75.37 versus 72.45, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.
The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.
The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.
For the stated presets, chat costs $0.0175 on Claude Opus 4.7 and $0.00263 on Gemini 3.8 Flash; repository review costs $0.325 and $0.04875; the cache-heavy agent loop costs $1.35 and $0.0675. Claude Opus 4.7 has no published cached-input rate, so cached tokens use its listed input rate.
Both models list the same context window, 1M.
Last updated September 2, 2026
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