Reasoning
Like-for-like- Gemma 4 12B
- 43.4
- Pokee-Isaac 28B
- 60.7
- Weighted basis
- 1 vs 1 rows
- Reading
- Pokee-Isaac 28B leads
Model comparison
Updated August 4, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality 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.
Prompts that approach the documented context limit
Pokee-Isaac 28B
Pokee-Isaac 28B has the larger documented context window.
Confidence: documented
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
1K fresh input + 500 output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: rate-fallback
50K fresh input + 3K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
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 | Gemma 4 12B | Pokee-Isaac 28B | Weighted basis | Reading |
|---|---|---|---|---|
| Reasoning | 43.4 | 60.7 | Like-for-like1 vs 1 rows | Pokee-Isaac 28B leads |
| Agentic | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Coding | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Knowledge | 77.5 | Not measured | Not comparable2 vs 0 rows | Not comparable |
| Math | 77.5 | Not measured | Not comparable1 vs 0 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multimodal | 69.1 | 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.
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.
MRCRv2
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
Gemma 4 12B has no comparable published API token rate.
50K fresh input + 3K output tokens
Gemma 4 12B has no comparable published API token rate.
200K cached + 20K fresh input + 10K output tokens
Pokee-Isaac 28B has no published cached-input rate, so cached tokens use its listed input rate. Gemma 4 12B has no comparable published API token 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.
Gemma 4 12B
Pokee-Isaac 28B
Gemma 4 12B
Not sourced
Pokee-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.
Gemma 4 12B
No comparable hosted API rate
Pokee-Isaac 28B
Not published
Pokee-Isaac 28B model pageGemma 4 12B
text, image, audio, video
Google Gemma 4 model documentationPokee-Isaac 28B
Not sourced
Gemma 4 12B
Pokee-Isaac 28B
Not sourced
Gemma 4 12B
Open Weights · open weights
Google gemma-4-12B model cardPokee-Isaac 28B
Not sourced
Gemma 4 12B
Reasoning
Pokee-Isaac 28B
Reasoning
Gemma 4 12B
Open Weight
Pokee-Isaac 28B
Proprietary
Gemma 4 12B
Open Weight
Pokee-Isaac 28B
Proprietary
Gemma 4 12B
2026-06-03
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
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
GPQA
Not directly comparable
GPQA-D
Not directly comparable
MMLU-Pro
Not directly comparable
HLE w/o tools
Not directly comparable
MMMLU
Not directly comparable
AIME26
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.
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Pokee-Isaac 28B has the larger documented context window: 10M, compared with 256K.
Last updated August 4, 2026
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