Agentic
Not comparable- Pokee-Isaac 28B
- 49.6
- Estimated · #62/154
- Sakana Fugu
- Not ranked
- Basis
- BenchAlign lane · 5 vs 1 public rows
- Reading
- Not comparable
Pokee-Isaac 28B vs Sakana Fugu
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.
1 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
Updated September 18, 2026. We do not rank this pair: at least one has no public score. Public scores include evidence status and uncertainty.
Both of these models will change. Get the price, version and retirement notices for the pair, each with its source. Follow model changes
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.
Long documents
Prompts that approach the documented context limit
Pokee-Isaac 28B
Pokee-Isaac 28B has the larger documented context window.
Confidence: documented
Show secondary and unsupported calls
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Pokee-Isaac 28B and Sakana Fugu are not ranked on the public lane for coding, so no winner is named for coding.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Sakana Fugu is not ranked on the public lane for agentic, so no winner is named for agentic.
Confidence: limited
Chat turn cost
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
Cache-heavy agent loop cost
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
Repository review cost
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
Which one for a specific job
Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.
The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.
—Pokee-Isaac 28B—Sakana Fugu
Not comparable · BenchAlign
The coding row is not comparable on the public lane: at least one model is not measured or not ranked there.
Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
6 Pokee-Isaac 28B only
1 Shared
10 Sakana Fugu only
- Shared results
- 1
- Pokee-Isaac 28B only
- 6
- Sakana Fugu only
- 10
- Like-for-like categories
- 0 / 8
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
Not comparable- Pokee-Isaac 28B
- Not ranked
- Sakana Fugu
- Not ranked
- Basis
- BenchAlign lane · 1 vs 5 public rows
- Reading
- Not comparable
Reasoning
Not comparable- Pokee-Isaac 28B
- 38.6
- Unranked · 1 rankable row
- Sakana Fugu
- 69.6
- Unranked · 1 rankable row
- Basis
- Provisional lane · 1 vs 1 weighted rows
- Reading
- Not comparable
Knowledge
Not comparable- Pokee-Isaac 28B
- Not ranked
- Sakana Fugu
- Not ranked
- Basis
- BenchAlign lane · 0 vs 3 public rows
- Reading
- Not comparable
Math
Not comparable- Pokee-Isaac 28B
- Not ranked
- Sakana Fugu
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- Pokee-Isaac 28B
- Not ranked
- Sakana Fugu
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- Pokee-Isaac 28B
- Not ranked
- Sakana Fugu
- 68.6
- Unranked · 1 rankable row
- Basis
- Provisional lane · 0 vs 1 weighted rows
- Reading
- Not comparable
Instruction following
Not comparable- Pokee-Isaac 28B
- Not ranked
- Sakana Fugu
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
| Category | Pokee-Isaac 28B | Sakana Fugu | Basis | Reading |
|---|---|---|---|---|
| Agentic | 49.6Estimated · #62/154 | Not ranked | Not comparableBenchAlign lane · 5 vs 1 public rows | Not comparable |
| Coding | Not ranked | Not ranked | Not comparableBenchAlign lane · 1 vs 5 public rows | Not comparable |
| Reasoning | 38.6Unranked · 1 rankable row | 69.6Unranked · 1 rankable row | Not comparableProvisional lane · 1 vs 1 weighted rows | Not comparable |
| Knowledge | Not ranked | Not ranked | Not comparableBenchAlign lane · 0 vs 3 public rows | Not comparable |
| Math | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | Not ranked | 68.6Unranked · 1 rankable row | Not comparableProvisional lane · 0 vs 1 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.
MRCRv2
Reasoning
Pokee-Isaac 28B: 60.7%Sakana Fugu: 86.6%Normalized gap 25.9Pokee-Isaac 28B source Sakana Fugu 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
- Pokee-Isaac 28B
- $0.00065
- Fits in one request
- Sakana Fugu
- API rate not published
- Fits in one request
Sakana Fugu has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Pokee-Isaac 28B
- $0.0105
- Fits in one request
- Sakana Fugu
- API rate not published
- Fits in one request
Sakana Fugu has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Pokee-Isaac 28B
- $0.043
- Fits in one request
- Cached input priced at the published list-input rate
- Sakana Fugu
- API rate not published
- Fits in one request
- Cached-input rate unavailable
Pokee-Isaac 28B has no published cached-input rate, so cached tokens use its listed input rate. Sakana Fugu has no comparable published API token rate.
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationPokee-Isaac 28BSakana Fugu
Context window
Maximum documented context; output-token limits may be lower.
Pokee-Isaac 28B
Sakana Fugu
1M
API model ID
Pokee-Isaac 28B
pokee-isaac
Pokee-Isaac 28B model pageSakana Fugu
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Pokee-Isaac 28B
Not published
Pokee-Isaac 28B model pageSakana Fugu
No comparable hosted API rate
Documented inputs
Pokee-Isaac 28B
Not sourced
Sakana Fugu
Not sourced
Documented outputs
Pokee-Isaac 28B
Not sourced
Sakana Fugu
Not sourced
Provider availability
Pokee-Isaac 28B
Not sourced
Sakana Fugu
Not sourced
Reasoning profile
Pokee-Isaac 28B
Reasoning
Sakana Fugu
Reasoning
Weight access
Pokee-Isaac 28B
Proprietary
Sakana Fugu
Proprietary
License
Pokee-Isaac 28B
Proprietary
Sakana Fugu
Proprietary
Release date
Pokee-Isaac 28B
2026-08-03
Sakana Fugu
2026-06-22
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
- At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- Pokee-Isaac 28B has the larger documented window (10M).
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 evidence17 rows
Agentic
Terminal-Bench 2.1
Pokee-Isaac 28B65.1%SourceSakana Fugu—Not directly comparable
BFCL v4
Pokee-Isaac 28B70.9%SourceSakana Fugu—Not directly comparable
τ³-bench results
Pokee-Isaac 28B66.2%SourceSakana Fugu—Not directly comparable
MCP-Atlas claim coverage
Pokee-Isaac 28B74.6%SourceSakana Fugu—Not directly comparable
PinchBench
Pokee-Isaac 28B95.7%SourceSakana Fugu—Not directly comparable
Terminal-Bench 2.0
Pokee-Isaac 28B—Sakana Fugu80.2%SourceNot directly comparable
Coding
Terminal-Bench 2.1
Pokee-Isaac 28B65.1%SourceSakana Fugu—Not directly comparable
SWE-bench Pro
Pokee-Isaac 28B—Sakana Fugu59%SourceNot directly comparable
Terminal-Bench 2.0
Pokee-Isaac 28B—Sakana Fugu80.2%SourceNot directly comparable
LiveCodeBench v6
Pokee-Isaac 28B—Sakana Fugu92.9%SourceNot directly comparable
LiveCodeBench Pro
Pokee-Isaac 28B—Sakana Fugu87.8%SourceNot directly comparable
SciCode
Pokee-Isaac 28B—Sakana Fugu60.1%SourceNot directly comparable
Reasoning
Knowledge
Multimodal
CharXiv
Pokee-Isaac 28B—Sakana Fugu85.1%SourceNot directly comparable
Questions
Which is better, Pokee-Isaac 28B or Sakana Fugu?
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.
Which is better for coding, Pokee-Isaac 28B or Sakana Fugu?
Pokee-Isaac 28B and Sakana Fugu are not ranked on the public lane for coding, so no winner is named for coding.
Which is better for agentic tasks, Pokee-Isaac 28B or Sakana Fugu?
Sakana Fugu is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Which costs less, Pokee-Isaac 28B or Sakana Fugu?
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Which has the larger context window, Pokee-Isaac 28B or Sakana Fugu?
Pokee-Isaac 28B has the larger documented context window: 10M, compared with 1M.
Related comparisons
Last updated September 18, 2026
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