Model comparison
Hunyuan Large 2025 02 10 vs Inkling
Inkling is the stronger model overall, scoring 44.1 to 38.6 on the Noometry Index.
Last verified . 12 shared benchmarks.
TencentSummary
- They share 12 benchmarks with published results for both. Hunyuan Large 2025 02 10 scores higher in 2 categories and Inkling in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Inkling leads 55.1 to 35.1.
- Inkling has downloadable open weights; the other is API-only.
Side by side
| Hunyuan Large 2025 02 10 | Inkling | |
|---|---|---|
| Provider | Tencent | Thinking Machines Lab |
| Noometry Index | 38.6 | 44.1 |
| Released | — | 2026-07-15 |
| Weights | Proprietary | Open |
| Context window | — | 66K |
| Max output | — | 66K |
| Input $ / M tokens | — | $1.87 |
| Output $ / M tokens | — | $4.68 |
| Results tracked | 12 | 41 |
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Category by category
Coding Hunyuan Large 2025 02 10 leads
Hunyuan Large 2025 02 10: 38.2 (#181), Inkling: 34.5 (#234)
| Benchmark | Hunyuan Large 2025 02 10 | Inkling |
|---|---|---|
| LMArena Coding | 1307 | 1464 |
| FrontierCode | — | 14% |
| LMArena WebDev | — | 1413 |
| FrontierSWE | — | 4.1% |
| SciCode | — | 47% |
| WeirdML | — | 32.3% |
| ALE-Bench | — | 946 |
Agentic & Tool Use Not comparable
Hunyuan Large 2025 02 10: —, Inkling: 29.6 (#85)
| Benchmark | Hunyuan Large 2025 02 10 | Inkling |
|---|---|---|
| APEX-Agents | — | 33.8% |
| τ²-bench Banking | — | 25% |
Reasoning Inkling leads
Hunyuan Large 2025 02 10: 25.5 (#148), Inkling: 40.4 (#56)
| Benchmark | Hunyuan Large 2025 02 10 | Inkling |
|---|---|---|
| LMArena Hard Prompts | 1286 | 1451 |
| ARC-AGI-2 | — | 36.5% |
| SimpleBench | — | 50% |
| ARC-AGI-1 | — | 79.5% |
| CritPt | — | 5.4% |
| Chess Puzzles | — | 21% |
| DTBench | — | 87.5% |
| LMCA | — | 37.6% |
| Epoch Capabilities Index | — | 148.54 |
Math Hunyuan Large 2025 02 10 leads
Hunyuan Large 2025 02 10: 35.8 (#178), Inkling: 31.3 (#225)
| Benchmark | Hunyuan Large 2025 02 10 | Inkling |
|---|---|---|
| LMArena Math | 1281 | 1479 |
| FrontierMath (Tiers 1-3) | — | 33.3% |
| FrontierMath Tier 4 | — | 4.9% |
| OTIS Mock AIME 2024-2025 | — | 88.9% |
| ProofBench | — | 0% |
Knowledge Inkling leads
Hunyuan Large 2025 02 10: 35.1 (#188), Inkling: 55.1 (#49)
| Benchmark | Hunyuan Large 2025 02 10 | Inkling |
|---|---|---|
| LMArena Expert | 1276 | 1465 |
| GPQA Diamond | — | 88.3% |
| SimpleQA Verified | — | 40.3% |
Multilingual Inkling leads
Hunyuan Large 2025 02 10: 42.0 (#200), Inkling: 54.0 (#52)
| Benchmark | Hunyuan Large 2025 02 10 | Inkling |
|---|---|---|
| LMArena Non-English | 1265 | 1434 |
| LMArena Chinese | 1346 | 1490 |
| LMArena Russian | 1266 | 1429 |
| LMArena French | — | 1458 |
| LMArena German | — | 1446 |
| LMArena Japanese | — | 1429 |
| LMArena Korean | — | 1404 |
| LMArena Spanish | — | 1448 |
Instruction Following Inkling leads
Hunyuan Large 2025 02 10: 67.3 (#197), Inkling: 75.1 (#71)
| Benchmark | Hunyuan Large 2025 02 10 | Inkling |
|---|---|---|
| LMArena Instruction Following | 1277 | 1426 |
Long Context Inkling leads
Hunyuan Large 2025 02 10: 40.8 (#149), Inkling: 43.8 (#86)
| Benchmark | Hunyuan Large 2025 02 10 | Inkling |
|---|---|---|
| LMArena Longer Query | 1341 | 1434 |
Writing & Preference Inkling leads
Hunyuan Large 2025 02 10: 48.7 (#197), Inkling: 65.2 (#51)
| Benchmark | Hunyuan Large 2025 02 10 | Inkling |
|---|---|---|
| LMArena Text | 1288 | 1441 |
| LMArena Creative Writing | 1264 | 1387 |
| LMArena Multi-Turn | 1284 | 1436 |
| EQ-Bench Creative Writing | — | 1611 |
| EQ-Bench 4 | — | 1226 |
Frequently asked questions
Is Hunyuan Large 2025 02 10 better than Inkling?
Inkling is the stronger model overall, scoring 44.1 to 38.6 on the Noometry Index.
Is Hunyuan Large 2025 02 10 or Inkling better for coding?
Hunyuan Large 2025 02 10 scores higher on coding benchmarks: 38.2 versus 34.5 in the Noometry coding category.
How many benchmarks do Hunyuan Large 2025 02 10 and Inkling share?
12 benchmarks have published results for both models. Hunyuan Large 2025 02 10 has 12 scored results on Noometry and Inkling has 41.