Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Sakana Fugu is not ranked on the public lane for coding, so no winner is named for coding.
Confidence: limited
MiniMax M3 vs Sakana Fugu
Updated September 27, 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
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. 3 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
- Shared results
- 3
- MiniMax M3 only
- 24
- Sakana Fugu only
- 8
- Like-for-like categories
- 0 / 8
Supported: MiniMax M3How the comparison works
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.
No workload recommendation clears the current evidence threshold.
Use the matched evidence, workload costs, and sourced specifications below instead of treating a point score as a universal answer.
Show secondary and unsupported calls
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: limitedLong documents
Prompts that approach the documented context limit
No clear pick
The documented context windows are equal.
Confidence: documentedChat 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-ratesCache-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-ratesRepository 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.
39.2MiniMax M3—Sakana Fugu
Not comparable · BenchAlign v5.7
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.
Same basis rules as the category table below
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
24 MiniMax M3 only
3 Shared
8 Sakana Fugu only
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.
A shared-evidence shape is not available.
BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.
Category results, on a stated basis
Each row shows the public-lane category score for both models: the BenchAlign v5.7 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.
Agentic
Not comparable- MiniMax M3
- 39.9
- Supported · #45/105
- Sakana Fugu
- Not ranked
- Basis
- BenchAlign v5.7 lane · 9 vs 1 public rows
- Reading
- Not comparable
Coding
Not comparable- MiniMax M3
- 39.2
- Supported · #59/135
- Sakana Fugu
- Not ranked
- Basis
- BenchAlign v5.7 lane · 10 vs 5 public rows
- Reading
- Not comparable
Reasoning
Not comparable- MiniMax M3
- 79.1
- Unranked · 2 rankable rows
- Sakana Fugu
- 70.6
- Unranked · 1 rankable row
- Basis
- Provisional lane · 0 vs 1 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- MiniMax M3
- 52.0
- #36/50
- Sakana Fugu
- 68.6
- Unranked · 1 rankable row
- Basis
- Provisional lane · 2 vs 1 weighted rows
- Reading
- Not comparable
Knowledge
Not comparable- MiniMax M3
- 49.3
- Supported · #59/158
- Sakana Fugu
- Not ranked
- Basis
- BenchAlign v5.7 lane · 2 vs 3 public rows
- Reading
- Not comparable
Multilingual
Not comparable- MiniMax M3
- Not ranked
- Sakana Fugu
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Instruction following
Not comparable- MiniMax M3
- 92.4
- #5/124
- Sakana Fugu
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Math
Not comparable- MiniMax M3
- Not ranked
- Sakana Fugu
- Not ranked
- Basis
- Provisional lane · 1 vs 0 weighted rows
- Reading
- Not comparable
| Category | MiniMax M3 | Sakana Fugu | Basis | Reading |
|---|---|---|---|---|
| Agentic | 39.9Supported · #45/105 | Not ranked | Not comparableBenchAlign v5.7 lane · 9 vs 1 public rows | Not comparable |
| Coding | 39.2Supported · #59/135 | Not ranked | Not comparableBenchAlign v5.7 lane · 10 vs 5 public rows | Not comparable |
| Reasoning | 79.1Unranked · 2 rankable rows | 70.6Unranked · 1 rankable row | Not comparableProvisional lane · 0 vs 1 weighted rows | Not comparable |
| Multimodal | 52.0#36/50 | 68.6Unranked · 1 rankable row | Not comparableProvisional lane · 2 vs 1 weighted rows | Not comparable |
| Knowledge | 49.3Supported · #59/158 | Not ranked | Not comparableBenchAlign v5.7 lane · 2 vs 3 public rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Instruction following | 92.4#5/124 | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Math | Not ranked | Not ranked | Not comparableProvisional lane · 1 vs 0 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.7) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
Supported evidence per lane · bars run 0–100Methodology
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
- MiniMax M3
- $0.0009
- 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
- MiniMax M3
- $0.0186
- 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
- MiniMax M3
- $0.03
- Fits in one request
- Sakana Fugu
- API rate not published
- Fits in one request
- Cached-input rate unavailable
Sakana Fugu has no comparable published API token rate.
Cached input falls back to the list input rate only where a cached rate is unpublished
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationMiniMax M3Sakana Fugu
Context window
Maximum documented context; output-token limits may be lower.
MiniMax M3
1M
Sakana Fugu
1M
API model ID
MiniMax M3
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.
MiniMax M3
$0.06 per 1M cached input tokens
Sakana Fugu
No comparable hosted API rate
Documented inputs
MiniMax M3
Not sourced
Sakana Fugu
Not sourced
Documented outputs
MiniMax M3
Not sourced
Sakana Fugu
Not sourced
Provider availability
MiniMax M3
Not sourced
Sakana Fugu
Not sourced
Reasoning profile
MiniMax M3
Non-Reasoning
Sakana Fugu
Reasoning
Weight access
MiniMax M3
Open Weight
Sakana Fugu
Proprietary
License
MiniMax M3
Open Weight
Sakana Fugu
Proprietary
Release date
MiniMax M3
2026-06-01
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
- Both models list 1M.
Run the same representative tasks against both endpoints before changing production traffic.
Questions
Which is better, MiniMax M3 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, MiniMax M3 or Sakana Fugu?
Sakana Fugu is not ranked on the public lane for coding, so no winner is named for coding.
Which is better for agentic tasks, MiniMax M3 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, MiniMax M3 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, MiniMax M3 or Sakana Fugu?
Both models list the same context window, 1M.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence35 rows
Agentic
Terminal-Bench 2.1
MiniMax M366.0%SourceSakana Fugu80.2%SourceSakana Fugu leads this result
BrowseComp
MiniMax M383.5%SourceSakana Fugu—Not directly comparable
OSWorld-Verified
MiniMax M370.1%SourceSakana Fugu—Not directly comparable
MCP Atlas
MiniMax M374.2%SourceSakana Fugu—Not directly comparable
Claw-Eval
MiniMax M374.5%SourceSakana Fugu—Not directly comparable
BankerToolBench
MiniMax M376.1%SourceSakana Fugu—Not directly comparable
ResearchClawBench
MiniMax M319.8%SourceSakana Fugu—Not directly comparable
OSWorld 2.0
MiniMax M34.6%SourceSakana Fugu—Not directly comparable
Terminal-Bench 2.1 (Vals)
MiniMax M353.6%SourceSakana Fugu—Not directly comparable
Coding
SWE-bench Verified
MiniMax M380.5%SourceSakana Fugu—Not directly comparable
SWE-bench Pro
MiniMax M359%SourceSakana Fugu59%SourceTie
Terminal-Bench 2.1
MiniMax M366.0%SourceSakana Fugu80.2%SourceSakana Fugu leads this result
NL2Repo
MiniMax M342.1%SourceSakana Fugu—Not directly comparable
VIBE V2
MiniMax M350.1%SourceSakana Fugu—Not directly comparable
SVG-Bench
MiniMax M363.7%SourceSakana Fugu—Not directly comparable
KernelBench Hard
MiniMax M328.8%SourceSakana Fugu—Not directly comparable
OpenHarmony Bench
MiniMax M348.4%SourceSakana Fugu—Not directly comparable
LiveCodeBench (Vals)
MiniMax M382.2%SourceSakana Fugu—Not directly comparable
SWE-bench (Vals)
MiniMax M375.0%SourceSakana Fugu—Not directly comparable
LiveCodeBench v6
MiniMax M3—Sakana Fugu92.9%SourceNot directly comparable
LiveCodeBench Pro
MiniMax M3—Sakana Fugu87.8%SourceNot directly comparable
SciCode
MiniMax M3—Sakana Fugu60.1%SourceNot directly comparable
Reasoning
MRCRv2
MiniMax M3—Sakana Fugu86.6%SourceNot directly comparable
Multimodal
OfficeQA Pro
MiniMax M345.1%SourceSakana Fugu—Not directly comparable
OmniDocBench 1.5
MiniMax M391.6%SourceSakana Fugu—Not directly comparable
MMMU-Pro
MiniMax M378.1%SourceSakana Fugu—Not directly comparable
VideoMMMU
MiniMax M384.6%SourceSakana Fugu—Not directly comparable
Video-MME (with subtitle)
MiniMax M385.4%SourceSakana Fugu—Not directly comparable
CharXiv
MiniMax M3—Sakana Fugu85.1%SourceNot directly comparable
Knowledge
GPQA Diamond (Vals)
MiniMax M392.7%SourceSakana Fugu—Not directly comparable
MMLU-Pro (Vals)
MiniMax M384.2%SourceSakana Fugu—Not directly comparable
GPQA
MiniMax M3—Sakana Fugu95.5%SourceNot directly comparable
GPQA-D
MiniMax M3—Sakana Fugu95.5%SourceNot directly comparable
HLE w/o tools
MiniMax M3—Sakana Fugu47.2%SourceNot directly comparable
Math
USAMO 2026
MiniMax M385.7%SourceSakana Fugu—Not directly comparable
35 public results · 3 shared
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Last updated September 27, 2026