Model comparison
GPT-5.3 Codex vs Yi-34B
GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 27.4 on the Noometry Index.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. GPT-5.3 Codex scores higher in 1 category and Yi-34B 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 31.8.
- Yi-34B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.3 Codex | Yi-34B | |
|---|---|---|
| Provider | OpenAI | 01.AI |
| Noometry Index | 45.5 | 27.4 |
| Released | 2026-02-05 | 2023-11-02 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $1.75 | — |
| Output $ / M tokens | $14 | — |
| Results tracked | 8 | 23 |
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Category by category
Coding GPT-5.3 Codex leads
GPT-5.3 Codex: 48.5 (#51), Yi-34B: 31.8 (#269)
| Benchmark | GPT-5.3 Codex | Yi-34B |
|---|---|---|
| SWE-bench Verified | 74.8% | — |
| LMArena WebDev | 1408 | — |
| WeirdML | 79.3% | — |
| LMArena Coding | — | 1112 |
| ALE-Bench | 1,655 | — |
Agentic & Tool Use Not comparable
GPT-5.3 Codex: 47.8 (#9), Yi-34B: —
| Benchmark | GPT-5.3 Codex | Yi-34B |
|---|---|---|
| Terminal-Bench | 78.4% | — |
| METR Time Horizons | 74.5% | — |
| Vending-Bench 2 | 5,940 | — |
Reasoning Not comparable
GPT-5.3 Codex: —, Yi-34B: 20.3 (#222)
| Benchmark | GPT-5.3 Codex | Yi-34B |
|---|---|---|
| Epoch Capabilities Index | 156.84 | 117.28 |
| LMArena Hard Prompts | — | 1104 |
| BIG-Bench Hard | — | 71.7% |
Math Not comparable
GPT-5.3 Codex: —, Yi-34B: 19.8 (#277)
| Benchmark | GPT-5.3 Codex | Yi-34B |
|---|---|---|
| LMArena Math | — | 1114 |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge Not comparable
GPT-5.3 Codex: —, Yi-34B: 7.5 (#304)
| Benchmark | GPT-5.3 Codex | Yi-34B |
|---|---|---|
| GPQA Diamond | — | 14.7% |
| LMArena Expert | — | 1061 |
| MMLU | — | 76.3% |
Multilingual Not comparable
GPT-5.3 Codex: —, Yi-34B: 29.9 (#259)
| Benchmark | GPT-5.3 Codex | Yi-34B |
|---|---|---|
| LMArena Non-English | — | 1079 |
| LMArena Chinese | — | 1175 |
| LMArena French | — | 1080 |
| LMArena German | — | 1042 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
| LMArena Russian | — | 1050 |
| LMArena Spanish | — | 1070 |
Instruction Following Not comparable
GPT-5.3 Codex: —, Yi-34B: 56.4 (#269)
| Benchmark | GPT-5.3 Codex | Yi-34B |
|---|---|---|
| LMArena Instruction Following | — | 1091 |
Long Context Not comparable
GPT-5.3 Codex: —, Yi-34B: 33.2 (#259)
| Benchmark | GPT-5.3 Codex | Yi-34B |
|---|---|---|
| LMArena Longer Query | — | 1094 |
Writing & Preference Not comparable
GPT-5.3 Codex: —, Yi-34B: 34.3 (#268)
| Benchmark | GPT-5.3 Codex | Yi-34B |
|---|---|---|
| LMArena Text | — | 1129 |
| LMArena Creative Writing | — | 1108 |
| LMArena Multi-Turn | — | 1113 |
Frequently asked questions
Is GPT-5.3 Codex better than Yi-34B?
GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 27.4 on the Noometry Index.
Is GPT-5.3 Codex or Yi-34B better for coding?
GPT-5.3 Codex scores higher on coding benchmarks: 48.5 versus 31.8 in the Noometry coding category.
How many benchmarks do GPT-5.3 Codex and Yi-34B share?
1 benchmark has published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and Yi-34B has 23.