# Grok 4.3 vs Qwen3-Coder 480B-A35B Instruct

> Grok 4.3 is the stronger model overall, scoring 43.6 to 37.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/grok-4-3-vs-qwen3-coder-480b-a35b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. Grok 4.3 scores higher in 9 categories and Qwen3-Coder 480B-A35B Instruct in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Grok 4.3 leads 52.5 to 36.4.
- The biggest single-benchmark swing is WeirdML: 49.9% for Grok 4.3 and 41.2% for Qwen3-Coder 480B-A35B Instruct.
- Grok 4.3 is cheaper at $1.25 / $2.50 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
- Grok 4.3 accepts more context: 1M tokens versus 262K.
- Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Grok 4.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 43.6 | 37.7 |
| Rank | 80 | 186 |
| Context | 1M | 262K |
| Input $/M | $1.25 | $1.50 |
| Output $/M | $2.50 | $7.50 |
| Weights | Proprietary | Open |

## Coding

- Grok 4.3: 41.3 (#117)
- Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)

| Benchmark | Grok 4.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena WebDev | 1357 | 1275 |
| WeirdML | 49.9% | 41.2% |
| LMArena Coding | 1415 | 1413 |
| ALE-Bench | 944.17 | 461.45 |
| SWE-bench Verified (bash only) | — | 55.4% |
| SciCode | 47.3% | — |
| GSO | — | 4.9% |
| AlgoTune | — | 1.44 |

## Agentic & Tool Use

- Grok 4.3: 27.6 (#93)
- Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)

| Benchmark | Grok 4.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| GDP.pdf | 8% | — |
| LMArena Search | 1165 | — |
| Vending-Bench 2 | 35.26 | — |

## Reasoning

- Grok 4.3: 34.9 (#60)
- Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)

| Benchmark | Grok 4.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1397 | 1372 |
| Kagi LLM Benchmark | — | 49.5% |
| NYT Connections (extended) | 55.2% | — |
| CritPt | 8% | — |
| Chess Puzzles | 25% | — |
| DTBench | 90.7% | — |
| LMCA | 38.3% | — |
| Epoch Capabilities Index | 149.13 | — |
| ForecastBench | 60.3 | — |

## Math

- Grok 4.3: 45.8 (#60)
- Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)

| Benchmark | Grok 4.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1388 | 1364 |
| FrontierMath (Tiers 1-3) | 42.8% | — |
| FrontierMath Tier 4 | 14.6% | — |
| OTIS Mock AIME 2024-2025 | 93.3% | — |
| ProofBench | 11% | — |

## Knowledge

- Grok 4.3: 52.5 (#57)
- Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)

| Benchmark | Grok 4.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1385 | 1337 |
| GPQA Diamond | 88.8% | — |
| SimpleQA Verified | 33.2% | — |

## Multimodal

- Grok 4.3: 31.6 (#96)
- Qwen3-Coder 480B-A35B Instruct: —

| Benchmark | Grok 4.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Vision | 1231 | — |
| Blueprint-Bench 2 | 0% | — |

## Multilingual

- Grok 4.3: 50.7 (#114)
- Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)

| Benchmark | Grok 4.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1385 | 1345 |
| LMArena Chinese | 1423 | 1356 |
| LMArena French | 1412 | 1394 |
| LMArena German | 1395 | 1324 |
| LMArena Japanese | 1379 | 1309 |
| LMArena Korean | 1357 | 1307 |
| LMArena Russian | 1399 | 1367 |
| LMArena Spanish | 1402 | 1360 |

## Instruction Following

- Grok 4.3: 72.3 (#135)
- Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)

| Benchmark | Grok 4.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1366 | 1356 |

## Long Context

- Grok 4.3: 42.5 (#118)
- Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)

| Benchmark | Grok 4.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1393 | 1379 |

## Writing & Preference

- Grok 4.3: 58.6 (#112)
- Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)

| Benchmark | Grok 4.3 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1397 | 1356 |
| LMArena Creative Writing | 1380 | 1333 |
| LMArena Multi-Turn | 1406 | 1365 |
| EQ-Bench 4 | 1075 | — |

## FAQ

### Is Grok 4.3 better than Qwen3-Coder 480B-A35B Instruct?

Grok 4.3 is the stronger model overall, scoring 43.6 to 37.7 on the Noometry Index.

### Which is cheaper, Grok 4.3 or Qwen3-Coder 480B-A35B Instruct?

Grok 4.3 is cheaper. It lists at $1.25 per million input tokens and $2.50 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.

### Is Grok 4.3 or Qwen3-Coder 480B-A35B Instruct better for coding?

Grok 4.3 scores higher on coding benchmarks: 41.3 versus 36.2 in the Noometry coding category.

### Which has the bigger context window?

Grok 4.3 does, with 1M tokens against 262K.

### How many benchmarks do Grok 4.3 and Qwen3-Coder 480B-A35B Instruct share?

20 benchmarks have published results for both models. Grok 4.3 has 40 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.
