# Qwen3 235B-A22B vs Solar Pro4

> Qwen3 235B-A22B is the stronger model overall, scoring 43.5 to 42.1 on the Noometry Index. Solar Pro4 costs 2.3× less per token, which makes it the better buy when Qwen3 235B-A22B's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/qwen3-235b-a22b-vs-solar-pro4
- Last updated: 2026-10-12
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Qwen3 235B-A22B scores higher in 6 categories and Solar Pro4 in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Solar Pro4 leads 28.5 to 15.7.
- Solar Pro4 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.70 / $2.80 for Qwen3 235B-A22B.
- Solar Pro4 accepts more context: 524K tokens versus 131K.
- Qwen3 235B-A22B has downloadable open weights; the other is API-only.

## Snapshot

| | Qwen3 235B-A22B | Solar Pro4 |
|---|---|---|
| Provider | Alibaba (Qwen) | Upstage |
| Noometry Index | 43.5 | 42.1 |
| Rank | 91 | 121 |
| Context | 131K | 524K |
| Input $/M | $0.70 | $0.30 |
| Output $/M | $2.80 | $1.20 |
| Weights | Open | Proprietary |

## Coding

- Qwen3 235B-A22B: 44.3 (#75)
- Solar Pro4: 40.1 (#149)

| Benchmark | Qwen3 235B-A22B | Solar Pro4 |
|---|---|---|
| LMArena Coding | 1445 | 1437 |
| Aider Polyglot | 59.6% | — |
| LMArena WebDev | — | 1371 |
| SciCode | 42.4% | — |
| WeirdML | 41% | — |

## Agentic & Tool Use

- Qwen3 235B-A22B: 33.9 (#51)
- Solar Pro4: —

| Benchmark | Qwen3 235B-A22B | Solar Pro4 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 52.1% | — |
| Vending-Bench 2 | -11.34 | — |

## Reasoning

- Qwen3 235B-A22B: 15.7 (#311)
- Solar Pro4: 28.5 (#104)

| Benchmark | Qwen3 235B-A22B | Solar Pro4 |
|---|---|---|
| LMArena Hard Prompts | 1433 | 1399 |
| ARC-AGI-2 | 1.3% | — |
| SimpleBench | 31% | — |
| Kagi LLM Benchmark | 69.4% | — |
| ARC-AGI-1 | 11% | — |
| CritPt | 0% | — |
| Chess Puzzles | 12% | — |
| Mystery Game Puzzles | 9% | — |
| DTBench | 80.3% | — |
| LMCA | 29.3% | — |
| Epoch Capabilities Index | 143.85 | — |
| ForecastBench | 59.7 | — |

## Math

- Qwen3 235B-A22B: 50.4 (#57)
- Solar Pro4: 38.8 (#128)

| Benchmark | Qwen3 235B-A22B | Solar Pro4 |
|---|---|---|
| LMArena Math | 1432 | 1416 |
| OTIS Mock AIME 2024-2025 | 86.7% | — |
| Omni-MATH | 71.8% | — |
| MATH Level 5 | 68.9% | — |
| FrontierMath (Feb 2025 set) | 8.5% | — |
| FrontierMath Tier 4 (v1) | 0% | — |

## Knowledge

- Qwen3 235B-A22B: 49.6 (#73)
- Solar Pro4: 39.8 (#129)

| Benchmark | Qwen3 235B-A22B | Solar Pro4 |
|---|---|---|
| LMArena Expert | 1463 | 1427 |
| GPQA Diamond | 80.1% | — |
| SimpleQA Verified | 40.4% | — |
| MMLU-Pro | 84.4% | — |
| Confabulations | 15.6% | — |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | 72.7% | — |

## Multilingual

- Qwen3 235B-A22B: 52.3 (#89)
- Solar Pro4: 48.7 (#139)

| Benchmark | Qwen3 235B-A22B | Solar Pro4 |
|---|---|---|
| LMArena Non-English | 1409 | 1361 |
| LMArena Chinese | 1481 | 1415 |
| LMArena French | 1445 | 1397 |
| LMArena German | 1433 | 1364 |
| LMArena Japanese | 1399 | 1309 |
| LMArena Korean | 1391 | 1382 |
| LMArena Russian | 1411 | 1360 |
| LMArena Spanish | 1430 | 1401 |

## Instruction Following

- Qwen3 235B-A22B: 72.6 (#136)
- Solar Pro4: 72.7 (#132)

| Benchmark | Qwen3 235B-A22B | Solar Pro4 |
|---|---|---|
| LMArena Instruction Following | 1408 | 1377 |
| IFEval | 83.5% | — |

## Long Context

- Qwen3 235B-A22B: 46.1 (#26)
- Solar Pro4: 42.1 (#130)

| Benchmark | Qwen3 235B-A22B | Solar Pro4 |
|---|---|---|
| LMArena Longer Query | 1426 | 1381 |
| Fiction.LiveBench | 75% | — |

## Writing & Preference

- Qwen3 235B-A22B: 59.6 (#108)
- Solar Pro4: 56.5 (#138)

| Benchmark | Qwen3 235B-A22B | Solar Pro4 |
|---|---|---|
| LMArena Text | 1419 | 1386 |
| LMArena Creative Writing | 1384 | 1316 |
| LMArena Multi-Turn | 1432 | 1385 |
| Short-Story Creative Writing | 83% | — |
| EQ-Bench Creative Writing | 1366 | — |
| WildBench | 86.6% | — |

## FAQ

### Is Qwen3 235B-A22B better than Solar Pro4?

Qwen3 235B-A22B is the stronger model overall, scoring 43.5 to 42.1 on the Noometry Index. Solar Pro4 costs 2.3× less per token, which makes it the better buy when Qwen3 235B-A22B's lead doesn't matter for your workload.

### Which is cheaper, Qwen3 235B-A22B or Solar Pro4?

Solar Pro4 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Qwen3 235B-A22B lists at $0.70 and $2.80.

### Is Qwen3 235B-A22B or Solar Pro4 better for coding?

Qwen3 235B-A22B scores higher on coding benchmarks: 44.3 versus 40.1 in the Noometry coding category.

### Which has the bigger context window?

Solar Pro4 does, with 524K tokens against 131K.

### How many benchmarks do Qwen3 235B-A22B and Solar Pro4 share?

17 benchmarks have published results for both models. Qwen3 235B-A22B has 49 scored results on Noometry and Solar Pro4 has 18.