Model comparison
DeepSeek LLM 67B vs GPT-5.1-Codex
GPT-5.1-Codex is the stronger model overall, scoring 38.6 to 24.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeekSummary
- The widest gap is in math, where GPT-5.1-Codex leads 30.3 to 8.7.
- DeepSeek LLM 67B has downloadable open weights; the other is API-only.
Side by side
| DeepSeek LLM 67B | GPT-5.1-Codex | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 24.9 | 38.6 |
| Released | 2023-11-29 | 2025-11-12 |
| Weights | Open | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $10 |
| Results tracked | 15 | 6 |
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Category by category
Coding GPT-5.1-Codex leads
DeepSeek LLM 67B: 31.9 (#278), GPT-5.1-Codex: 41.9 (#116)
| Benchmark | DeepSeek LLM 67B | GPT-5.1-Codex |
|---|---|---|
| SWE-bench Verified (bash only) | — | 66% |
| LMArena WebDev | — | 1337 |
| LMArena Coding | 1096 | — |
| ALE-Bench | — | 1,245 |
Agentic & Tool Use Not comparable
DeepSeek LLM 67B: —, GPT-5.1-Codex: 38.0 (#33)
| Benchmark | DeepSeek LLM 67B | GPT-5.1-Codex |
|---|---|---|
| Terminal-Bench | — | 60.4% |
| METR Time Horizons | — | 70.8% |
Reasoning Not comparable
DeepSeek LLM 67B: 16.5 (#304), GPT-5.1-Codex: —
| Benchmark | DeepSeek LLM 67B | GPT-5.1-Codex |
|---|---|---|
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1070 | — |
| Epoch Capabilities Index | 110.5 | — |
Math GPT-5.1-Codex leads
DeepSeek LLM 67B: 8.7 (#324), GPT-5.1-Codex: 30.3 (#235)
| Benchmark | DeepSeek LLM 67B | GPT-5.1-Codex |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| ProofBench | — | 9% |
| LMArena Math | 1108 | — |
| MATH Level 5 | 6.4% | — |
Knowledge Not comparable
DeepSeek LLM 67B: 7.0 (#313), GPT-5.1-Codex: —
| Benchmark | DeepSeek LLM 67B | GPT-5.1-Codex |
|---|---|---|
| GPQA Diamond | 24.6% | — |
Multilingual Not comparable
DeepSeek LLM 67B: 29.4 (#267), GPT-5.1-Codex: —
| Benchmark | DeepSeek LLM 67B | GPT-5.1-Codex |
|---|---|---|
| LMArena Non-English | 1073 | — |
| LMArena Chinese | 1132 | — |
Instruction Following Not comparable
DeepSeek LLM 67B: 55.4 (#277), GPT-5.1-Codex: —
| Benchmark | DeepSeek LLM 67B | GPT-5.1-Codex |
|---|---|---|
| LMArena Instruction Following | 1079 | — |
Long Context Not comparable
DeepSeek LLM 67B: 33.1 (#265), GPT-5.1-Codex: —
| Benchmark | DeepSeek LLM 67B | GPT-5.1-Codex |
|---|---|---|
| LMArena Longer Query | 1092 | — |
Writing & Preference Not comparable
DeepSeek LLM 67B: 31.6 (#282), GPT-5.1-Codex: —
| Benchmark | DeepSeek LLM 67B | GPT-5.1-Codex |
|---|---|---|
| LMArena Text | 1105 | — |
| LMArena Creative Writing | 1067 | — |
| LMArena Multi-Turn | 1082 | — |
Frequently asked questions
Is DeepSeek LLM 67B better than GPT-5.1-Codex?
GPT-5.1-Codex is the stronger model overall, scoring 38.6 to 24.9 on the Noometry Index.
Is DeepSeek LLM 67B or GPT-5.1-Codex better for coding?
GPT-5.1-Codex scores higher on coding benchmarks: 41.9 versus 31.9 in the Noometry coding category.
How many benchmarks do DeepSeek LLM 67B and GPT-5.1-Codex share?
0 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and GPT-5.1-Codex has 6.