# GPT-5.3 Codex vs Qwen3-1.7B

> GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 26.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-3-codex-vs-qwen3-1-7b
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in agentic & tool use, where GPT-5.3 Codex leads 47.8 to 24.5.
- Qwen3-1.7B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.3 Codex | Qwen3-1.7B |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 45.5 | 26.2 |
| Rank | 61 | 331 |
| Context | 400K | — |
| Input $/M | $1.75 | — |
| Output $/M | $14 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-5.3 Codex: 48.5 (#51)
- Qwen3-1.7B: —

| Benchmark | GPT-5.3 Codex | Qwen3-1.7B |
|---|---|---|
| SWE-bench Verified | 74.8% | — |
| LMArena WebDev | 1408 | — |
| WeirdML | 79.3% | — |
| ALE-Bench | 1,655 | — |

## Agentic & Tool Use

- GPT-5.3 Codex: 47.8 (#9)
- Qwen3-1.7B: 24.5 (#108)

| Benchmark | GPT-5.3 Codex | Qwen3-1.7B |
|---|---|---|
| Terminal-Bench | 78.4% | — |
| Berkeley Function Calling Leaderboard | — | 28.4% |
| METR Time Horizons | 74.5% | — |
| Vending-Bench 2 | 5,940 | — |

## Reasoning

- GPT-5.3 Codex: —
- Qwen3-1.7B: 18.5 (#263)

| Benchmark | GPT-5.3 Codex | Qwen3-1.7B |
|---|---|---|
| Chess Puzzles | — | 0% |
| Epoch Capabilities Index | 156.84 | — |

## Math

- GPT-5.3 Codex: —
- Qwen3-1.7B: 15.4 (#288)

| Benchmark | GPT-5.3 Codex | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.1% |

## Knowledge

- GPT-5.3 Codex: —
- Qwen3-1.7B: 19.6 (#273)

| Benchmark | GPT-5.3 Codex | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | — | 38% |

## FAQ

### Is GPT-5.3 Codex better than Qwen3-1.7B?

GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 26.2 on the Noometry Index.

### How many benchmarks do GPT-5.3 Codex and Qwen3-1.7B share?

0 benchmarks have published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and Qwen3-1.7B has 4.