Model comparison
Qwen3 14B vs Solar Pro4
Solar Pro4 is the stronger model overall, scoring 42.1 to 35.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in reasoning, where Solar Pro4 leads 28.5 to 18.5.
- Solar Pro4 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.35 / $1.40 for Qwen3 14B.
- Solar Pro4 accepts more context: 524K tokens versus 131K.
- Qwen3 14B has downloadable open weights; the other is API-only.
Side by side
| Qwen3 14B | Solar Pro4 | |
|---|---|---|
| Provider | Alibaba (Qwen) | Upstage |
| Noometry Index | 35.5 | 42.1 |
| Released | 2025-04 | 2026-08-06 |
| Weights | Open | Proprietary |
| Context window | 131K | 524K |
| Max output | 8K | 131K |
| Input $ / M tokens | $0.35 | $0.30 |
| Output $ / M tokens | $1.40 | $1.20 |
| Results tracked | 12 | 18 |
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Category by category
Coding Solar Pro4 leads
Qwen3 14B: 37.3 (#195), Solar Pro4: 40.1 (#149)
| Benchmark | Qwen3 14B | Solar Pro4 |
|---|---|---|
| LMArena WebDev | — | 1371 |
| SciCode | 31.6% | — |
| LMArena Coding | — | 1437 |
Agentic & Tool Use Not comparable
Qwen3 14B: 29.6 (#83), Solar Pro4: —
| Benchmark | Qwen3 14B | Solar Pro4 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 41% | — |
Reasoning Solar Pro4 leads
Qwen3 14B: 18.5 (#280), Solar Pro4: 28.5 (#104)
| Benchmark | Qwen3 14B | Solar Pro4 |
|---|---|---|
| Kagi LLM Benchmark | 49.1% | — |
| CritPt | 0% | — |
| Chess Puzzles | 4% | — |
| LMArena Hard Prompts | — | 1399 |
| DTBench | 64% | — |
| LMCA | 18.2% | — |
| Epoch Capabilities Index | 138.23 | — |
Math Too close to call
Qwen3 14B: 38.6 (#133), Solar Pro4: 38.8 (#128)
| Benchmark | Qwen3 14B | Solar Pro4 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 66.4% | — |
| LMArena Math | — | 1416 |
Knowledge Too close to call
Qwen3 14B: 39.3 (#134), Solar Pro4: 39.8 (#129)
| Benchmark | Qwen3 14B | Solar Pro4 |
|---|---|---|
| GPQA Diamond | 63.8% | — |
| Vectara Hallucination Rate | 5.4% | — |
| LMArena Expert | — | 1427 |
Multilingual Not comparable
Qwen3 14B: —, Solar Pro4: 48.7 (#139)
| Benchmark | Qwen3 14B | Solar Pro4 |
|---|---|---|
| LMArena Non-English | — | 1361 |
| LMArena Chinese | — | 1415 |
| LMArena French | — | 1397 |
| LMArena German | — | 1364 |
| LMArena Japanese | — | 1309 |
| LMArena Korean | — | 1382 |
| LMArena Russian | — | 1360 |
| LMArena Spanish | — | 1401 |
Instruction Following Not comparable
Qwen3 14B: —, Solar Pro4: 72.7 (#132)
| Benchmark | Qwen3 14B | Solar Pro4 |
|---|---|---|
| LMArena Instruction Following | — | 1377 |
Long Context Solar Pro4 leads
Qwen3 14B: 38.1 (#204), Solar Pro4: 42.1 (#130)
| Benchmark | Qwen3 14B | Solar Pro4 |
|---|---|---|
| Fiction.LiveBench | 62.5% | — |
| LMArena Longer Query | — | 1381 |
Writing & Preference Not comparable
Qwen3 14B: —, Solar Pro4: 56.5 (#138)
| Benchmark | Qwen3 14B | Solar Pro4 |
|---|---|---|
| LMArena Text | — | 1386 |
| LMArena Creative Writing | — | 1316 |
| LMArena Multi-Turn | — | 1385 |
Frequently asked questions
Is Qwen3 14B better than Solar Pro4?
Solar Pro4 is the stronger model overall, scoring 42.1 to 35.5 on the Noometry Index.
Which is cheaper, Qwen3 14B or Solar Pro4?
Solar Pro4 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Qwen3 14B lists at $0.35 and $1.40.
Is Qwen3 14B or Solar Pro4 better for coding?
Solar Pro4 scores higher on coding benchmarks: 40.1 versus 37.3 in the Noometry coding category.
Which has the bigger context window?
Solar Pro4 does, with 524K tokens against 131K.
How many benchmarks do Qwen3 14B and Solar Pro4 share?
0 benchmarks have published results for both models. Qwen3 14B has 12 scored results on Noometry and Solar Pro4 has 18.