# GPT-5.3 Chat vs Qwen3 14B

> GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 35.5 on the Noometry Index. Qwen3 14B costs 7.9× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-3-chat-vs-qwen3-14b
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where GPT-5.3 Chat leads 28.5 to 18.5.
- Qwen3 14B is cheaper at $0.35 / $1.40 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- Qwen3 14B accepts more context: 131K tokens versus 128K.
- Qwen3 14B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.3 Chat | Qwen3 14B |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.8 | 35.5 |
| Rank | 109 | 225 |
| Context | 128K | 131K |
| Input $/M | $1.75 | $0.35 |
| Output $/M | $14 | $1.40 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.3 Chat: 41.4 (#124)
- Qwen3 14B: 37.3 (#195)

| Benchmark | GPT-5.3 Chat | Qwen3 14B |
|---|---|---|
| SciCode | — | 31.6% |
| LMArena Coding | 1408 | — |

## Agentic & Tool Use

- GPT-5.3 Chat: —
- Qwen3 14B: 29.6 (#83)

| Benchmark | GPT-5.3 Chat | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |

## Reasoning

- GPT-5.3 Chat: 28.5 (#102)
- Qwen3 14B: 18.5 (#280)

| Benchmark | GPT-5.3 Chat | Qwen3 14B |
|---|---|---|
| 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

- GPT-5.3 Chat: 38.2 (#142)
- Qwen3 14B: 38.6 (#133)

| Benchmark | GPT-5.3 Chat | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.4% |
| LMArena Math | 1389 | — |

## Knowledge

- GPT-5.3 Chat: 38.8 (#140)
- Qwen3 14B: 39.3 (#134)

| Benchmark | GPT-5.3 Chat | Qwen3 14B |
|---|---|---|
| GPQA Diamond | — | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |
| LMArena Expert | 1397 | — |

## Multilingual

- GPT-5.3 Chat: 50.3 (#124)
- Qwen3 14B: —

| Benchmark | GPT-5.3 Chat | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 1382 | — |
| LMArena Chinese | 1432 | — |
| LMArena French | 1397 | — |
| LMArena German | 1384 | — |
| LMArena Japanese | 1352 | — |
| LMArena Korean | 1346 | — |
| LMArena Russian | 1400 | — |
| LMArena Spanish | 1371 | — |

## Instruction Following

- GPT-5.3 Chat: 72.8 (#129)
- Qwen3 14B: —

| Benchmark | GPT-5.3 Chat | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 1378 | — |

## Long Context

- GPT-5.3 Chat: 42.6 (#120)
- Qwen3 14B: 38.1 (#204)

| Benchmark | GPT-5.3 Chat | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
| LMArena Longer Query | 1396 | — |

## Writing & Preference

- GPT-5.3 Chat: 63.1 (#68)
- Qwen3 14B: —

| Benchmark | GPT-5.3 Chat | Qwen3 14B |
|---|---|---|
| LMArena Text | 1389 | — |
| LMArena Creative Writing | 1355 | — |
| EQ-Bench Creative Writing | 1690 | — |
| LMArena Multi-Turn | 1412 | — |

## FAQ

### Is GPT-5.3 Chat better than Qwen3 14B?

GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 35.5 on the Noometry Index. Qwen3 14B costs 7.9× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

### Which is cheaper, GPT-5.3 Chat or Qwen3 14B?

Qwen3 14B is cheaper. It lists at $0.35 per million input tokens and $1.40 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

### Is GPT-5.3 Chat or Qwen3 14B better for coding?

GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 37.3 in the Noometry coding category.

### Which has the bigger context window?

Qwen3 14B does, with 131K tokens against 128K.

### How many benchmarks do GPT-5.3 Chat and Qwen3 14B share?

0 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Qwen3 14B has 12.