Model comparison
Mistral Medium 3.5 128B vs Sakana Fugu-Ultra
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Evidence parity. Mistral Medium 3.5 128B and Sakana Fugu-Ultra share 0 comparable benchmark results. 1 of 8 categories are comparable. 25 results are unique to Mistral Medium 3.5 128B; 11 to Sakana Fugu-Ultra.
Updated July 23, 2026- Shared results
- 0
- Mistral Medium 3.5 128B only
- 25
- Sakana Fugu-Ultra only
- 11
- Comparable categories
- 1 / 8
Treat this as a split decision. Mistral Medium 3.5 128B makes more sense if coding is the priority; Sakana Fugu-Ultra is the better fit if you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Mistral Medium 3.5 128B and Sakana Fugu-Ultra finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
Sakana Fugu-Ultra gives you the larger context window at 1M, compared with 256K for Mistral Medium 3.5 128B.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Mistral Medium 3.5 128B | Sakana Fugu-Ultra | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Mistral Medium 3.5 128B$1.5 input / $7.5 output | Sakana Fugu-UltraNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Mistral Medium 3.5 128BNot available | Sakana Fugu-UltraNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Mistral Medium 3.5 128BNot available | Sakana Fugu-UltraNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Mistral Medium 3.5 128B256K | Sakana Fugu-Ultra1M | Sakana Fugu-Ultra lists the larger context window. |
Benchmark Deep Dive
Agentic12 benchmarks
| Benchmark | Mistral Medium 3.5 128B | Sakana Fugu-Ultra | Result |
|---|---|---|---|
| τ³-bench resultsSource | 91.4% | — | Not comparable |
| AA Agentic IndexSource | 19.0% | — | Not comparable |
| τ²-bench resultsSource | 94.2% | — | Not comparable |
| GDPval-AASource | 21.4% | — | Not comparable |
| GDPval-AASource | 929 | — | Not comparable |
| Gert LabsSource | 39.10% | — | Not comparable |
| AA BriefcaseSource | 506 | — | Not comparable |
| AA EnterpriseOps-GymSource | 33.7% | — | Not comparable |
| AA Harvey LABSource | 69.1% | — | Not comparable |
| AA Tau3 BankingSource | 14.4% | — | Not comparable |
| terminalBenchHardSource | 33.3% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 82.1% | Not comparable |
CodingMistral Medium 3.5 128B wins8 benchmarks
| Benchmark | Mistral Medium 3.5 128B | Sakana Fugu-Ultra | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 77.6% | — | Not comparable |
| AA Coding IndexSource | 46.9% | — | Not comparable |
| AA-SciCodeSource | 39.6% | — | Not comparable |
| SWE-bench ProSource | — | 73.7% | Not comparable |
| Terminal-Bench 2.0Source | — | 82.1% | Not comparable |
| LiveCodeBench v6Source | — | 93.2% | Not comparable |
| LiveCodeBench ProSource | — | 90.8% | Not comparable |
| SciCodeSource | — | 58.7% | Not comparable |
Reasoning3 benchmarks
Knowledge10 benchmarks
| Benchmark | Mistral Medium 3.5 128B | Sakana Fugu-Ultra | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 29.9% | — | Not comparable |
| AA-GPQA DiamondSource | 74.8% | — | Not comparable |
| AA-HLESource | 12.8% | — | Not comparable |
| AA-Omniscience IndexSource | -36.3% | — | Not comparable |
| AA-Omniscience AccuracySource | 25.1% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 82.0% | — | Not comparable |
| AA Openness IndexSource | 33.3% | — | Not comparable |
| GPQASource | — | 95.5% | Not comparable |
| GPQA-DSource | — | 95.5% | Not comparable |
| HLE w/o toolsSource | — | 50% | Not comparable |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Mistral Medium 3.5 128B | Sakana Fugu-Ultra | Result |
|---|---|---|---|
| AA-IFBenchSource | 68.8% | — | Not comparable |
Frequently Asked Questions (2)
Which is better, Mistral Medium 3.5 128B or Sakana Fugu-Ultra?
Mistral Medium 3.5 128B and Sakana Fugu-Ultra are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for coding, Mistral Medium 3.5 128B or Sakana Fugu-Ultra?
Mistral Medium 3.5 128B has the edge for coding in this comparison, averaging 77.6 versus 64.5. Sakana Fugu-Ultra stays close enough that the answer can still flip depending on your workload.
Related Comparisons
Explore More
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.