Agentic
Like-for-like- Hy3 Preview
- 54.4
- Sakana Fugu
- 80.2
- Weighted basis
- 1 vs 1 rows
- Reading
- Sakana Fugu leads
Hy3 Preview vs Sakana Fugu
Updated 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.
4 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.
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.
Agentic work
Tool use, computer use, and multi-step task completion
Sakana Fugu
Sakana Fugu leads on the same 1 weighted benchmark row.
Confidence: limited
Long documents
Prompts that approach the documented context limit
Sakana Fugu
Sakana Fugu 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
No shared weighted benchmark basis supports a winner.
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: listed-rates
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
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
2 Hy3 Preview only
4 Shared
7 Sakana Fugu only
- Shared results
- 4
- Hy3 Preview only
- 2
- Sakana Fugu only
- 7
- Like-for-like categories
- 2 / 8
Category results, on a stated basis
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.
Knowledge
Like-for-like- Hy3 Preview
- 87.2
- Sakana Fugu
- 95.5
- Weighted basis
- 1 vs 1 rows
- Reading
- Sakana Fugu leads
Coding
Not comparable- Hy3 Preview
- 74.4
- Sakana Fugu
- 59.7
- Weighted basis
- 1 vs 2 rows
- Reading
- Not comparable
Reasoning
Not comparable- Hy3 Preview
- Not measured
- Sakana Fugu
- 86.6
- Weighted basis
- 0 vs 1 rows
- Reading
- Not comparable
Math
Not comparable- Hy3 Preview
- Not measured
- Sakana Fugu
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Multilingual
Not comparable- Hy3 Preview
- Not measured
- Sakana Fugu
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Multimodal
Not comparable- Hy3 Preview
- Not measured
- Sakana Fugu
- 85.1
- Weighted basis
- 0 vs 1 rows
- Reading
- Not comparable
Instruction following
Not comparable- Hy3 Preview
- Not measured
- Sakana Fugu
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
| Category | Hy3 Preview | Sakana Fugu | Weighted basis | Reading |
|---|---|---|---|---|
| Agentic | 54.4 | 80.2 | Like-for-like1 vs 1 rows | Sakana Fugu leads |
| Knowledge | 87.2 | 95.5 | Like-for-like1 vs 1 rows | Sakana Fugu leads |
| Coding | 74.4 | 59.7 | Not comparable1 vs 2 rows | Not comparable |
| Reasoning | Not measured | 86.6 | Not comparable0 vs 1 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 | Not measured | 85.1 | Not comparable0 vs 1 rows | Not comparable |
| Instruction following | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
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.
Terminal-Bench 2.0
Agentic
GPQA
Knowledge
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
- Hy3 Preview
- Self-hosted; infrastructure cost varies
- Fits in one request
- Sakana Fugu
- API rate not published
- Fits in one request
Hy3 Preview has no comparable published API token rate. Sakana Fugu has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Hy3 Preview
- Self-hosted; infrastructure cost varies
- Fits in one request
- Sakana Fugu
- API rate not published
- Fits in one request
Hy3 Preview has no comparable published API token rate. Sakana Fugu has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Hy3 Preview
- Self-hosted; infrastructure cost varies
- Fits in one request
- Cached-input rate unavailable
- Sakana Fugu
- API rate not published
- Fits in one request
- Cached-input rate unavailable
Hy3 Preview has no comparable published API token 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.
SpecificationHy3 PreviewSakana Fugu
Context window
Maximum documented context; output-token limits may be lower.
Hy3 Preview
256K
Sakana Fugu
1M
API model ID
Hy3 Preview
Not sourced
Sakana Fugu
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Hy3 Preview
No comparable hosted API rate
Sakana Fugu
No comparable hosted API rate
Documented inputs
Hy3 Preview
Not sourced
Sakana Fugu
Not sourced
Documented outputs
Hy3 Preview
Not sourced
Sakana Fugu
Not sourced
Provider availability
Hy3 Preview
Not sourced
Sakana Fugu
Not sourced
Reasoning profile
Hy3 Preview
Reasoning
Sakana Fugu
Reasoning
Weight access
Hy3 Preview
Open Weight
Sakana Fugu
Proprietary
License
Hy3 Preview
Open Weight
Sakana Fugu
Proprietary
Release date
Hy3 Preview
2026-04-23
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
- Sakana Fugu has the larger documented window (1M).
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 evidence13 rows
Agentic
Coding
SWE-bench Verified
Hy3 Preview74.4%SourceSakana Fugu—Not directly comparable
Terminal-Bench 2.0
Hy3 Preview54.4%SourceSakana Fugu80.2%SourceSakana Fugu leads this result
SWE-bench Pro
Hy3 Preview—Sakana Fugu59%SourceNot directly comparable
LiveCodeBench v6
Hy3 Preview—Sakana Fugu92.9%SourceNot directly comparable
LiveCodeBench Pro
Hy3 Preview—Sakana Fugu87.8%SourceNot directly comparable
SciCode
Hy3 Preview—Sakana Fugu60.1%SourceNot directly comparable
Reasoning
MRCRv2
Hy3 Preview—Sakana Fugu86.6%SourceNot directly comparable
Knowledge
Multimodal
CharXiv
Hy3 Preview—Sakana Fugu85.1%SourceNot directly comparable
Frequently asked questions
Which is better, Hy3 Preview 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, Hy3 Preview or Sakana Fugu?
The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.
Which is better for agentic tasks, Hy3 Preview or Sakana Fugu?
Sakana Fugu leads the like-for-like agentic tasks comparison across 1 shared weighted benchmark row.
Which costs less, Hy3 Preview 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, Hy3 Preview or Sakana Fugu?
Sakana Fugu has the larger documented context window: 1M, compared with 256K.
Related comparisons
Last updated August 13, 2026
Watch Hy3 Preview vs Sakana Fugu
One weekly email when material rank, price, or benchmark evidence changes make this matchup worth revisiting.
Read a sample issueJoin 2,000+ readers.