Model comparison
MiniMax M3 vs Sakana Fugu-Ultra v1.1
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: MiniMax M3 #18 (Supported); Sakana Fugu-Ultra v1.1 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. MiniMax M3 and Sakana Fugu-Ultra v1.1 share 0 comparable benchmark results. 0 of 8 categories are comparable. 45 results are unique to MiniMax M3; 0 to Sakana Fugu-Ultra v1.1.
Updated July 24, 2026- Shared results
- 0
- MiniMax M3 only
- 45
- Sakana Fugu-Ultra v1.1 only
- 0
- Comparable categories
- 0 / 8
Benchmark data for MiniMax M3 and Sakana Fugu-Ultra v1.1 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM does not have sourced benchmark coverage for Sakana Fugu-Ultra v1.1 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Sakana Fugu-Ultra v1.1 is priced at $5.00 input / $30.00 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M3.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | MiniMax M3 | Sakana Fugu-Ultra v1.1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | MiniMax M3$0.3 input / $1.2 output | Sakana Fugu-Ultra v1.1$5 input / $30 output | MiniMax M3 has the lower combined listed price. |
| Generation speedtokens per second | MiniMax M3Not available | Sakana Fugu-Ultra v1.1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | MiniMax M3Not available | Sakana Fugu-Ultra v1.1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | MiniMax M31M | Sakana Fugu-Ultra v1.11M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic18 benchmarks
| Benchmark | MiniMax M3 | Sakana Fugu-Ultra v1.1 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 66% | — | Not comparable |
| BrowseCompSource | 83.5% | — | Not comparable |
| OSWorld-VerifiedSource | 70.1% | — | Not comparable |
| MCP AtlasSource | 74.2% | — | Not comparable |
| Claw-EvalSource | 74.5% | — | Not comparable |
| AA Agentic IndexSource | 35.4% | — | Not comparable |
| τ²-bench resultsSource | 88.9% | — | Not comparable |
| GDPval-AASource | 44.7% | — | Not comparable |
| GDPval-AASource | 1395 | — | Not comparable |
| GDPval rubricsSource | 74.7% | — | Not comparable |
| BankerToolBenchSource | 76.1% | — | Not comparable |
| ResearchClawBenchSource | 19.8% | — | Not comparable |
| OSWorld 2.0Source | 4.6% | — | Not comparable |
| AA BriefcaseSource | 1110 | — | Not comparable |
| AA EnterpriseOps-GymSource | 32.1% | — | Not comparable |
| AA Harvey LABSource | 88.4% | — | Not comparable |
| terminalBenchHardSource | 42.4% | — | Not comparable |
| aaTerminalBench21Source | 65.2% | — | Not comparable |
Coding9 benchmarks
| Benchmark | MiniMax M3 | Sakana Fugu-Ultra v1.1 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 80.5% | — | Not comparable |
| SWE-bench ProSource | 59% | — | Not comparable |
| Terminal-Bench 2.0Source | 66.0% | — | Not comparable |
| NL2RepoSource | 42.1% | — | Not comparable |
| AA Coding IndexSource | 58.6% | — | Not comparable |
| AA-SciCodeSource | 45.4% | — | Not comparable |
| VIBE V2Source | 50.1% | — | Not comparable |
| SVG-BenchSource | 63.7% | — | Not comparable |
| KernelBench HardSource | 28.8% | — | Not comparable |
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | MiniMax M3 | Sakana Fugu-Ultra v1.1 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 44.4% | — | Not comparable |
| AA-GPQA DiamondSource | 92.9% | — | Not comparable |
| AA-HLESource | 37.1% | — | Not comparable |
| AA-Omniscience IndexSource | 1.4% | — | Not comparable |
| AA-Omniscience AccuracySource | 15.0% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 16.1% | — | Not comparable |
| AA Openness IndexSource | 33.3% | — | Not comparable |
Math1 benchmarks
| Benchmark | MiniMax M3 | Sakana Fugu-Ultra v1.1 | Result |
|---|---|---|---|
| USAMO 2026Source | 85.7% | — | Not comparable |
Multimodal7 benchmarks
| Benchmark | MiniMax M3 | Sakana Fugu-Ultra v1.1 | Result |
|---|---|---|---|
| OfficeQA ProSource | 45.1% | — | Not comparable |
| OmniDocBench 1.5Source | 91.6% | — | Not comparable |
| MMMU-ProSource | 78.1% | — | Not comparable |
| VideoMMMUSource | 84.6% | — | Not comparable |
| Video-MME (with subtitle)Source | 85.4% | — | Not comparable |
| Design Arena WebsiteSource | 1289 | — | Not comparable |
| AA-MMMU-ProSource | 78.6% | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | MiniMax M3 | Sakana Fugu-Ultra v1.1 | Result |
|---|---|---|---|
| AA-IFBenchSource | 82.9% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare MiniMax M3 and Sakana Fugu-Ultra v1.1 on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for MiniMax M3 and Sakana Fugu-Ultra v1.1 today?
MiniMax M3: $0.30 input / $1.20 output per 1M tokens Sakana Fugu-Ultra v1.1: $5.00 input / $30.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.