Compare / head-to-head
Hy3vsMistral Medium 3.5
Hy3 leads 2 of 2 shared benchmarks. Both offer a 256K-token context window.
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
2 – 0
Hy3 leads
Cheaper per token
—
list price, input + output
Larger context
Tie
both 256K tokens
Provider uptime (30d)
— · 100%
Tencent Hunyuan · Mistral AI
Hy3
Tencent Hunyuan · released 2026-07-06
text
- Context
- 256K
- Max out
- —
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 41 · 8 core
Mistral Medium 3.5
Mistral AI · released 2026-04-28
textvision
Quality
Benchmark matrix
2 shared · 39 only Hy3 · 1 only Mistral Medium 3.5| Benchmark | Hy3 | Mistral Medium 3.5 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 2 | ||||
| SWE-bench Verified | 78% ↗ | 77.6% ↗ | +0.4 pt | Hy3 |
| LMArena Elo | 1440.6 ↗ | 1420.6 ↗ | +20 | Hy3 |
| Only Hy3 reports · 39 | ||||
| GPQA Diamond | 90.4% ↗ | not reported | — | — |
| Humanity's Last Exam (no tools) | 37% ↗ | not reported | — | — |
| AA-LCR | 73.4% ↗ | not reported | — | — |
| Apex-Agent | 25.6% ↗ | not reported | — | — |
| ArxivMath | 52.2% ↗ | not reported | — | — |
| BrowseComp | 84.2% ↗ | not reported | — | — |
| CL-bench | 23.8% ↗ | not reported | — | — |
| CL-bench Life | 17% ↗ | not reported | — | — |
| ClawEval | 68.5% ↗ | not reported | — | — |
| CMT-Benchmark | 37.8% ↗ | not reported | — | — |
| DeepSearchQA | 91% ↗ | not reported | — | — |
| DeepSWE | 28% ↗ | not reported | — | — |
| e-bench | 50.2% ↗ | not reported | — | — |
| FrontierScience-Olympiad | 74.8% ↗ | not reported | — | — |
| FrontierScience-Research | 21.3% ↗ | not reported | — | — |
| HLE (with tools, text-only) | 53.2% ↗ | not reported | — | — |
| HorizonMath | 7.1% ↗ | not reported | — | — |
| Hy-Backend 2.0 | 25% ↗ | not reported | — | — |
| Hy-CompanyBench | 41.7% ↗ | not reported | — | — |
| Hy-Euler Pro | 24.2% ↗ | not reported | — | — |
| Hy-FinModelBench | 69% ↗ | not reported | — | — |
| Hy-Math | 60.9% ↗ | not reported | — | — |
| Hy-SkillsWorld | 45.8% ↗ | not reported | — | — |
| Hy-SWE Max | 49% ↗ | not reported | — | — |
| IMOAnswerBench | 90% ↗ | not reported | — | — |
| MathArena Apex | 38.7% ↗ | not reported | — | — |
| MCP Atlas | 79.1% ↗ | not reported | — | — |
| NL2Repo | 45.6% ↗ | not reported | — | — |
| PHYBench | 77.4% ↗ | not reported | — | — |
| ProdBench | 23% ↗ | not reported | — | — |
| SkillsBench | 55.3% ↗ | not reported | — | — |
| SuperChem | 54.9% ↗ | not reported | — | — |
| SWE-bench Multilingual | 75.8% ↗ | not reported | — | — |
| SWE-bench Pro | 57.9% ↗ | not reported | — | — |
| Terminal-Bench 2.1 | 71.7% ↗ | not reported | — | — |
| Toolathlon | 48.5% ↗ | not reported | — | — |
| USAMO 2026 | 72% ↗ | not reported | — | — |
| WideSearch | 76.4% ↗ | not reported | — | — |
| WildClawBench | 53.6% ↗ | not reported | — | — |
| Only Mistral Medium 3.5 reports · 1 | ||||
| Tau3 Telecom | not reported | 91.4 ↗ | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is Hy3 minus Mistral Medium 3.5 in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | Hy3 | Mistral Medium 3.5 | Edge |
|---|---|---|---|
| Context window | 256K tokens | 256K tokens | Tie |
| Max output | — | — | — |
| Input price / 1M | — | $1.5 ↗ | — |
| Output price / 1M | — | $7.5 ↗ | — |
| Cached input / 1M | — | $0.15 ↗ | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | — | $9 | — |
| Modalities | text | text · vision | Mistral Medium 3.5 |
| Released | 2026-07-06 | 2026-04-28 | — |
| Cited benchmark scores | 41 | 3 | — |
Reliability
Provider status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
Hy3 vs …
Models sharing the most benchmarksMore matchups
Mistral Medium 3.5 vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run Hy3 and Mistral Medium 3.5 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.