Model comparison
GPT-5.3 Codex vs INTELLECT-1
GPT-5.3 Codex has enough public results to be ranked (#69); INTELLECT-1 does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both.
Side by side
| GPT-5.3 Codex | INTELLECT-1 | |
|---|---|---|
| Provider | OpenAI | Hugging Face |
| Noometry Index | 45.8 | — |
| Released | 2026-02-05 | 2024-11-29 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $1.75 | — |
| Output $ / M tokens | $14 | — |
| Results tracked | 8 | 7 |
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Category by category
Coding Not comparable
GPT-5.3 Codex: 48.6 (#56), INTELLECT-1: —
| Benchmark | GPT-5.3 Codex | INTELLECT-1 |
|---|---|---|
| SWE-bench Verified | 74.8% | — |
| LMArena WebDev | 1409 | — |
| WeirdML | 79.3% | — |
| ALE-Bench | 1,655 | — |
Agentic & Tool Use Not comparable
GPT-5.3 Codex: 48.0 (#9), INTELLECT-1: —
| Benchmark | GPT-5.3 Codex | INTELLECT-1 |
|---|---|---|
| Terminal-Bench | 78.4% | — |
| METR Time Horizons | 74.5% | — |
| Vending-Bench 2 | 5,940 | — |
Reasoning Not comparable
GPT-5.3 Codex: —, INTELLECT-1: —
| Benchmark | GPT-5.3 Codex | INTELLECT-1 |
|---|---|---|
| Epoch Capabilities Index | 156.77 | 100.86 |
| BIG-Bench Hard | — | 34.9% |
| HellaSwag | — | 71.4% |
| WinoGrande | — | 65.8% |
Math Not comparable
GPT-5.3 Codex: —, INTELLECT-1: —
| Benchmark | GPT-5.3 Codex | INTELLECT-1 |
|---|---|---|
| GSM8K | — | 38.6% |
Knowledge Not comparable
GPT-5.3 Codex: —, INTELLECT-1: —
| Benchmark | GPT-5.3 Codex | INTELLECT-1 |
|---|---|---|
| ARC (AI2) Challenge | — | 54.5% |
| MMLU | — | 49.9% |
Frequently asked questions
Is GPT-5.3 Codex better than INTELLECT-1?
GPT-5.3 Codex has enough public results to be ranked (#69); INTELLECT-1 does not yet, so treat this comparison as directional.
How many benchmarks do GPT-5.3 Codex and INTELLECT-1 share?
1 benchmark has published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and INTELLECT-1 has 7.