Model comparison
Inkling vs Qwen3 8B
Inkling is the stronger model overall, scoring 44.1 to 33.7 on the Noometry Index. Qwen3 8B costs 8.3× less per token, which makes it the better buy when Inkling's lead doesn't matter for your workload.
Last verified . 8 shared benchmarks.
Summary
- They share 8 benchmarks with published results for both. Inkling scores higher in 4 categories and Qwen3 8B in 2 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Inkling leads 40.4 to 16.6.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 88.9% for Inkling and 56.1% for Qwen3 8B.
- Qwen3 8B is cheaper at $0.18 / $0.70 per million input/output tokens, against $1.87 / $4.68 for Inkling.
- Qwen3 8B accepts more context: 131K tokens versus 66K.
Side by side
| Inkling | Qwen3 8B | |
|---|---|---|
| Provider | Thinking Machines Lab | Alibaba (Qwen) |
| Noometry Index | 44.1 | 33.7 |
| Released | 2026-07-15 | 2025-04 |
| Weights | Open | Open |
| Context window | 66K | 131K |
| Max output | 66K | 8K |
| Input $ / M tokens | $1.87 | $0.18 |
| Output $ / M tokens | $4.68 | $0.70 |
| Results tracked | 41 | 11 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Too close to call
Inkling: 34.5 (#234), Qwen3 8B: 34.0 (#248)
| Benchmark | Inkling | Qwen3 8B |
|---|---|---|
| SciCode | 47% | 22.6% |
| FrontierCode | 14% | — |
| LMArena WebDev | 1413 | — |
| FrontierSWE | 4.1% | — |
| WeirdML | 32.3% | — |
| LMArena Coding | 1464 | — |
| ALE-Bench | 946 | — |
Agentic & Tool Use Too close to call
Inkling: 29.6 (#85), Qwen3 8B: 30.2 (#78)
| Benchmark | Inkling | Qwen3 8B |
|---|---|---|
| APEX-Agents | 33.8% | — |
| Berkeley Function Calling Leaderboard | — | 42.6% |
| τ²-bench Banking | 25% | — |
Reasoning Inkling leads
Inkling: 40.4 (#56), Qwen3 8B: 16.6 (#303)
| Benchmark | Inkling | Qwen3 8B |
|---|---|---|
| CritPt | 5.4% | 0% |
| Chess Puzzles | 21% | 5% |
| DTBench | 87.5% | 59.7% |
| LMCA | 37.6% | 8.8% |
| Epoch Capabilities Index | 148.54 | 136.17 |
| ARC-AGI-2 | 36.5% | — |
| SimpleBench | 50% | — |
| ARC-AGI-1 | 79.5% | — |
| LMArena Hard Prompts | 1451 | — |
Math Qwen3 8B leads
Inkling: 31.3 (#225), Qwen3 8B: 34.9 (#191)
| Benchmark | Inkling | Qwen3 8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 88.9% | 56.1% |
| FrontierMath (Tiers 1-3) | 33.3% | — |
| FrontierMath Tier 4 | 4.9% | — |
| ProofBench | 0% | — |
| LMArena Math | 1479 | — |
Knowledge Inkling leads
Inkling: 55.1 (#49), Qwen3 8B: 36.1 (#173)
| Benchmark | Inkling | Qwen3 8B |
|---|---|---|
| GPQA Diamond | 88.3% | 56.8% |
| SimpleQA Verified | 40.3% | — |
| Vectara Hallucination Rate | — | 4.8% |
| LMArena Expert | 1465 | — |
Multilingual Not comparable
Inkling: 54.0 (#52), Qwen3 8B: —
| Benchmark | Inkling | Qwen3 8B |
|---|---|---|
| LMArena Non-English | 1434 | — |
| LMArena Chinese | 1490 | — |
| LMArena French | 1458 | — |
| LMArena German | 1446 | — |
| LMArena Japanese | 1429 | — |
| LMArena Korean | 1404 | — |
| LMArena Russian | 1429 | — |
| LMArena Spanish | 1448 | — |
Instruction Following Not comparable
Inkling: 75.1 (#71), Qwen3 8B: —
| Benchmark | Inkling | Qwen3 8B |
|---|---|---|
| LMArena Instruction Following | 1426 | — |
Long Context Inkling leads
Inkling: 43.8 (#86), Qwen3 8B: 37.9 (#210)
| Benchmark | Inkling | Qwen3 8B |
|---|---|---|
| Fiction.LiveBench | — | 62.1% |
| LMArena Longer Query | 1434 | — |
Writing & Preference Not comparable
Inkling: 65.2 (#51), Qwen3 8B: —
| Benchmark | Inkling | Qwen3 8B |
|---|---|---|
| LMArena Text | 1441 | — |
| LMArena Creative Writing | 1387 | — |
| EQ-Bench Creative Writing | 1611 | — |
| EQ-Bench 4 | 1226 | — |
| LMArena Multi-Turn | 1436 | — |
Frequently asked questions
Is Inkling better than Qwen3 8B?
Inkling is the stronger model overall, scoring 44.1 to 33.7 on the Noometry Index. Qwen3 8B costs 8.3× less per token, which makes it the better buy when Inkling's lead doesn't matter for your workload.
Which is cheaper, Inkling or Qwen3 8B?
Qwen3 8B is cheaper. It lists at $0.18 per million input tokens and $0.70 per million output tokens; Inkling lists at $1.87 and $4.68.
Is Inkling or Qwen3 8B better for coding?
They score almost the same on coding (34.5 vs 34.0); test both on your own repository before choosing.
Which has the bigger context window?
Qwen3 8B does, with 131K tokens against 66K.
How many benchmarks do Inkling and Qwen3 8B share?
8 benchmarks have published results for both models. Inkling has 41 scored results on Noometry and Qwen3 8B has 11.