Model comparison
GPT-5.3 Codex vs Qwen3.5 35B-A3B
GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 41.7 on the Noometry Index. Qwen3.5 35B-A3B costs 7.0× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
Alibaba (Qwen)Summary
- They share 2 benchmarks with published results for both. GPT-5.3 Codex scores higher in 1 category and Qwen3.5 35B-A3B in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where GPT-5.3 Codex leads 48.5 to 33.5.
- Qwen3.5 35B-A3B is cheaper at $0.25 / $2 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Codex.
- GPT-5.3 Codex accepts more context: 400K tokens versus 262K.
- Qwen3.5 35B-A3B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.3 Codex | Qwen3.5 35B-A3B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 45.5 | 41.7 |
| Released | 2026-02-05 | 2026-02-01 |
| Weights | Proprietary | Open |
| Context window | 400K | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $1.75 | $0.25 |
| Output $ / M tokens | $14 | $2 |
| Results tracked | 8 | 28 |
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Category by category
Coding GPT-5.3 Codex leads
GPT-5.3 Codex: 48.5 (#51), Qwen3.5 35B-A3B: 33.5 (#244)
| Benchmark | GPT-5.3 Codex | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena WebDev | 1408 | 1254 |
| SWE-bench Verified | 74.8% | — |
| SciCode | — | 29.3% |
| WeirdML | 79.3% | — |
| LMArena Coding | — | 1410 |
| ALE-Bench | 1,655 | — |
Agentic & Tool Use Not comparable
GPT-5.3 Codex: 47.8 (#9), Qwen3.5 35B-A3B: —
| Benchmark | GPT-5.3 Codex | Qwen3.5 35B-A3B |
|---|---|---|
| Terminal-Bench | 78.4% | — |
| METR Time Horizons | 74.5% | — |
| Vending-Bench 2 | 5,940 | — |
Reasoning Not comparable
GPT-5.3 Codex: —, Qwen3.5 35B-A3B: 23.9 (#158)
| Benchmark | GPT-5.3 Codex | Qwen3.5 35B-A3B |
|---|---|---|
| Epoch Capabilities Index | 156.84 | 142.52 |
| CritPt | — | 0.6% |
| Chess Puzzles | — | 10% |
| LMArena Hard Prompts | — | 1400 |
| DTBench | — | 80% |
| LMCA | — | 29.5% |
Math Not comparable
GPT-5.3 Codex: —, Qwen3.5 35B-A3B: 38.4 (#86)
| Benchmark | GPT-5.3 Codex | Qwen3.5 35B-A3B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 56% |
| OTIS Mock AIME 2024-2025 | — | 70% |
| LMArena Math | — | 1404 |
Knowledge Not comparable
GPT-5.3 Codex: —, Qwen3.5 35B-A3B: 47.7 (#73)
| Benchmark | GPT-5.3 Codex | Qwen3.5 35B-A3B |
|---|---|---|
| GPQA Diamond | — | 83.5% |
| Vectara Hallucination Rate | — | 10.5% |
| LMArena Expert | — | 1408 |
Multilingual Not comparable
GPT-5.3 Codex: —, Qwen3.5 35B-A3B: 50.2 (#122)
| Benchmark | GPT-5.3 Codex | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Non-English | — | 1379 |
| LMArena Chinese | — | 1458 |
| LMArena French | — | 1412 |
| LMArena German | — | 1367 |
| LMArena Japanese | — | 1326 |
| LMArena Korean | — | 1354 |
| LMArena Russian | — | 1377 |
| LMArena Spanish | — | 1390 |
Instruction Following Not comparable
GPT-5.3 Codex: —, Qwen3.5 35B-A3B: 73.0 (#123)
| Benchmark | GPT-5.3 Codex | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Instruction Following | — | 1379 |
Long Context Not comparable
GPT-5.3 Codex: —, Qwen3.5 35B-A3B: 42.4 (#122)
| Benchmark | GPT-5.3 Codex | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Longer Query | — | 1390 |
Writing & Preference Not comparable
GPT-5.3 Codex: —, Qwen3.5 35B-A3B: 58.1 (#118)
| Benchmark | GPT-5.3 Codex | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Text | — | 1395 |
| LMArena Creative Writing | — | 1347 |
| LMArena Multi-Turn | — | 1391 |
Frequently asked questions
Is GPT-5.3 Codex better than Qwen3.5 35B-A3B?
GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 41.7 on the Noometry Index. Qwen3.5 35B-A3B costs 7.0× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.
Which is cheaper, GPT-5.3 Codex or Qwen3.5 35B-A3B?
Qwen3.5 35B-A3B is cheaper. It lists at $0.25 per million input tokens and $2 per million output tokens; GPT-5.3 Codex lists at $1.75 and $14.
Is GPT-5.3 Codex or Qwen3.5 35B-A3B better for coding?
GPT-5.3 Codex scores higher on coding benchmarks: 48.5 versus 33.5 in the Noometry coding category.
Which has the bigger context window?
GPT-5.3 Codex does, with 400K tokens against 262K.
How many benchmarks do GPT-5.3 Codex and Qwen3.5 35B-A3B share?
2 benchmarks have published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and Qwen3.5 35B-A3B has 28.