Model comparison
DBRX vs GPT-5.3 Codex
GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 29.4 on the Noometry Index.
Last verified . 0 shared benchmarks.
DatabricksSummary
- The widest gap is in coding, where GPT-5.3 Codex leads 48.6 to 32.9.
- DBRX has downloadable open weights; the other is API-only.
Side by side
| DBRX | GPT-5.3 Codex | |
|---|---|---|
| Provider | Databricks | OpenAI |
| Noometry Index | 29.4 | 45.8 |
| Released | 2024-03-27 | 2026-02-05 |
| Weights | Open | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $1.75 |
| Output $ / M tokens | — | $14 |
| Results tracked | 21 | 8 |
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Category by category
Coding GPT-5.3 Codex leads
DBRX: 32.9 (#266), GPT-5.3 Codex: 48.6 (#56)
| Benchmark | DBRX | GPT-5.3 Codex |
|---|---|---|
| SWE-bench Verified | — | 74.8% |
| LMArena WebDev | — | 1409 |
| WeirdML | — | 79.3% |
| LMArena Coding | 1132 | — |
| ALE-Bench | — | 1,655 |
| HumanEval+ | 70.1% | — |
| MBPP+ | 55.8% | — |
Agentic & Tool Use Not comparable
DBRX: —, GPT-5.3 Codex: 48.0 (#9)
| Benchmark | DBRX | GPT-5.3 Codex |
|---|---|---|
| Terminal-Bench | — | 78.4% |
| METR Time Horizons | — | 74.5% |
| Vending-Bench 2 | — | 5,940 |
Reasoning Not comparable
DBRX: 21.4 (#222), GPT-5.3 Codex: —
| Benchmark | DBRX | GPT-5.3 Codex |
|---|---|---|
| LMArena Hard Prompts | 1113 | — |
| Epoch Capabilities Index | — | 156.77 |
Math Not comparable
DBRX: 24.3 (#269), GPT-5.3 Codex: —
| Benchmark | DBRX | GPT-5.3 Codex |
|---|---|---|
| LMArena Math | 1145 | — |
| MATH Level 5 | 11.7% | — |
Knowledge Not comparable
DBRX: 14.9 (#294), GPT-5.3 Codex: —
| Benchmark | DBRX | GPT-5.3 Codex |
|---|---|---|
| GPQA Diamond | 32.9% | — |
| LMArena Expert | 1076 | — |
Multilingual Not comparable
DBRX: 29.3 (#268), GPT-5.3 Codex: —
| Benchmark | DBRX | GPT-5.3 Codex |
|---|---|---|
| LMArena Non-English | 1071 | — |
| LMArena Chinese | 1068 | — |
| LMArena French | 1096 | — |
| LMArena German | 1057 | — |
| LMArena Japanese | 990 | — |
| LMArena Korean | 993 | — |
| LMArena Russian | 1078 | — |
| LMArena Spanish | 1064 | — |
Instruction Following Not comparable
DBRX: 57.5 (#270), GPT-5.3 Codex: —
| Benchmark | DBRX | GPT-5.3 Codex |
|---|---|---|
| LMArena Instruction Following | 1112 | — |
Long Context Not comparable
DBRX: 33.7 (#258), GPT-5.3 Codex: —
| Benchmark | DBRX | GPT-5.3 Codex |
|---|---|---|
| LMArena Longer Query | 1112 | — |
Writing & Preference Not comparable
DBRX: 33.6 (#275), GPT-5.3 Codex: —
| Benchmark | DBRX | GPT-5.3 Codex |
|---|---|---|
| LMArena Text | 1119 | — |
| LMArena Creative Writing | 1104 | — |
| LMArena Multi-Turn | 1111 | — |
Frequently asked questions
Is DBRX better than GPT-5.3 Codex?
GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 29.4 on the Noometry Index.
Is DBRX or GPT-5.3 Codex better for coding?
GPT-5.3 Codex scores higher on coding benchmarks: 48.6 versus 32.9 in the Noometry coding category.
How many benchmarks do DBRX and GPT-5.3 Codex share?
0 benchmarks have published results for both models. DBRX has 21 scored results on Noometry and GPT-5.3 Codex has 8.