Agentic
Not comparable- Gemini 3.7 Flash
- Not measured
- Pokee-Isaac 28B
- 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.
Start free briefUpdated August 13, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
2 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.
Prompts that approach the documented context limit
Pokee-Isaac 28B
Pokee-Isaac 28B has the larger documented context window.
Confidence: documented
1K fresh input + 500 output tokens
Pokee-Isaac 28B
Pokee-Isaac 28B 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
Pokee-Isaac 28B
Pokee-Isaac 28B has the lower estimated token cost for this stated workload. Gemini 3.7 Flash has no published cached-input rate, so cached tokens use its listed input rate. Pokee-Isaac 28B has no published cached-input rate, so cached tokens use its listed input rate.
Confidence: rate-fallback
50K fresh input + 3K output tokens
Pokee-Isaac 28B
Pokee-Isaac 28B 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
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 | Gemini 3.7 Flash | Pokee-Isaac 28B | 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 | 60.7 | Not comparable0 vs 1 rows | Not comparable |
| Knowledge | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Math | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multimodal | 88.7 | Not measured | Not comparable1 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
Pokee-Isaac 28B has the lower modeled cost
Costs use the listed standard API rates.
50K fresh input + 3K output tokens
Pokee-Isaac 28B has the lower modeled cost
Costs use the listed standard API rates.
200K cached + 20K fresh input + 10K output tokens
Pokee-Isaac 28B has the lower modeled cost
Gemini 3.7 Flash has no published cached-input rate, so cached tokens use its listed input rate. Pokee-Isaac 28B 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.
Gemini 3.7 Flash
Pokee-Isaac 28B
Gemini 3.7 Flash
gemini-3.7-flash
Google Gemini 3.7 Flash model documentationPokee-Isaac 28B
pokee-isaac
Pokee-Isaac 28B model pageA missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Gemini 3.7 Flash
Not published
Google: Introducing Gemini 3.7 FlashPokee-Isaac 28B
Not published
Pokee-Isaac 28B model pageGemini 3.7 Flash
text, image, video, audio, pdf
Google Gemini 3.7 Flash model documentationPokee-Isaac 28B
Not sourced
Gemini 3.7 Flash
Pokee-Isaac 28B
Not sourced
Gemini 3.7 Flash
Generally Available · Gemini API, Google AI Studio, Google Antigravity, Gemini Enterprise Agent Platform, Gemini Enterprise, Gemini app via Spark
Google Gemini 3.7 Flash launchPokee-Isaac 28B
Not sourced
Gemini 3.7 Flash
Reasoning
Pokee-Isaac 28B
Reasoning
Gemini 3.7 Flash
Proprietary
Pokee-Isaac 28B
Proprietary
Gemini 3.7 Flash
Proprietary
Pokee-Isaac 28B
Proprietary
Gemini 3.7 Flash
2026-08-13
Pokee-Isaac 28B
2026-08-03
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 2.1
Gemini 3.7 Flash leads this result
Terminal-Bench 3.0
Not directly comparable
AutomationBench
Not directly comparable
OSWorld 2.0
Not directly comparable
Agents' Last Exam
Not directly comparable
BFCL v4
Not directly comparable
τ³-bench results
Not directly comparable
MCP-Atlas claim coverage
Not directly comparable
PinchBench
Not directly comparable
GDP.pdf (no tools)
Not directly comparable
CharXiv w/o tools
Not directly comparable
CharXiv
Not directly comparable
LVBench
Not directly comparable
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. The page therefore keeps the decision tied to the specific documented workload.
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 $0.00263 on Gemini 3.7 Flash and $0.00065 on Pokee-Isaac 28B; repository review costs $0.04875 and $0.0105; the cache-heavy agent loop costs $0.2025 and $0.043. Gemini 3.7 Flash has no published cached-input rate, so cached tokens use its listed input rate. Pokee-Isaac 28B has no published cached-input rate, so cached tokens use its listed input rate.
Pokee-Isaac 28B has the larger documented context window: 10M, compared with 1M.
Last updated August 13, 2026
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