Model comparison
Dolly 2.0-12b vs GPT-5-Codex
GPT-5-Codex is the stronger model overall, scoring 37.9 to 25.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
DatabricksSummary
- The widest gap is in coding, where GPT-5-Codex leads 42.4 to 23.4.
- Dolly 2.0-12b has downloadable open weights; the other is API-only.
Side by side
| Dolly 2.0-12b | GPT-5-Codex | |
|---|---|---|
| Provider | Databricks | OpenAI |
| Noometry Index | 25.5 | 37.9 |
| Released | 2023-04-11 | 2025-09-15 |
| Weights | Open | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $10 |
| Results tracked | 17 | 3 |
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Category by category
Coding GPT-5-Codex leads
Dolly 2.0-12b: 23.4 (#332), GPT-5-Codex: 42.4 (#103)
| Benchmark | Dolly 2.0-12b | GPT-5-Codex |
|---|---|---|
| WeirdML | — | 54.5% |
| LMArena Coding | 776 | — |
Agentic & Tool Use Not comparable
Dolly 2.0-12b: —, GPT-5-Codex: 31.0 (#72)
| Benchmark | Dolly 2.0-12b | GPT-5-Codex |
|---|---|---|
| Terminal-Bench | — | 44.3% |
Reasoning GPT-5-Codex leads
Dolly 2.0-12b: 15.3 (#316), GPT-5-Codex: 30.9 (#83)
| Benchmark | Dolly 2.0-12b | GPT-5-Codex |
|---|---|---|
| Kagi LLM Benchmark | — | 70.3% |
| LMArena Hard Prompts | 804 | — |
| Epoch Capabilities Index | 89.67 | — |
| HellaSwag | 70.8% | — |
| PIQA | 75.4% | — |
| WinoGrande | 61.8% | — |
Math Not comparable
Dolly 2.0-12b: 27.3 (#251), GPT-5-Codex: —
| Benchmark | Dolly 2.0-12b | GPT-5-Codex |
|---|---|---|
| LMArena Math | 871 | — |
Knowledge Not comparable
Dolly 2.0-12b: —, GPT-5-Codex: —
| Benchmark | Dolly 2.0-12b | GPT-5-Codex |
|---|---|---|
| ARC (AI2) Challenge | 39.6% | — |
| BoolQ | 56.3% | — |
| MMLU | 26.2% | — |
| OpenBookQA | 39.2% | — |
Multilingual Not comparable
Dolly 2.0-12b: 17.4 (#296), GPT-5-Codex: —
| Benchmark | Dolly 2.0-12b | GPT-5-Codex |
|---|---|---|
| LMArena Non-English | 836 | — |
| LMArena Chinese | 836 | — |
Instruction Following Not comparable
Dolly 2.0-12b: 38.7 (#304), GPT-5-Codex: —
| Benchmark | Dolly 2.0-12b | GPT-5-Codex |
|---|---|---|
| LMArena Instruction Following | 814 | — |
Writing & Preference Not comparable
Dolly 2.0-12b: 15.2 (#311), GPT-5-Codex: —
| Benchmark | Dolly 2.0-12b | GPT-5-Codex |
|---|---|---|
| LMArena Text | 851 | — |
| LMArena Creative Writing | 864 | — |
| LMArena Multi-Turn | 740 | — |
Frequently asked questions
Is Dolly 2.0-12b better than GPT-5-Codex?
GPT-5-Codex is the stronger model overall, scoring 37.9 to 25.5 on the Noometry Index.
Is Dolly 2.0-12b or GPT-5-Codex better for coding?
GPT-5-Codex scores higher on coding benchmarks: 42.4 versus 23.4 in the Noometry coding category.
How many benchmarks do Dolly 2.0-12b and GPT-5-Codex share?
0 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and GPT-5-Codex has 3.