Model comparison
DeepSeek-R1-Distill-Llama-70B vs GPT-5-Codex
DeepSeek-R1-Distill-Llama-70B and GPT-5-Codex score almost the same on the Noometry Index (37.8 vs 37.9), so choose on price, context window or the category you care about most.
Last verified . 1 shared benchmarks.
DeepSeekSummary
- They share 1 benchmark with published results for both. DeepSeek-R1-Distill-Llama-70B scores higher in 0 categories and GPT-5-Codex in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5-Codex leads 30.9 to 24.9.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 52.3% for DeepSeek-R1-Distill-Llama-70B and 70.3% for GPT-5-Codex.
- DeepSeek-R1-Distill-Llama-70B has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-R1-Distill-Llama-70B | GPT-5-Codex | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 37.8 | 37.9 |
| Released | 2025-01-20 | 2025-09-15 |
| Weights | Open | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $10 |
| Results tracked | 13 | 3 |
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Category by category
Coding GPT-5-Codex leads
DeepSeek-R1-Distill-Llama-70B: 36.8 (#202), GPT-5-Codex: 42.4 (#103)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | GPT-5-Codex |
|---|---|---|
| WeirdML | — | 54.5% |
| BigCodeBench Instruct | 35.3% | — |
| LiveBench Coding | 51.6% | — |
| BigCodeBench Complete | 49.9% | — |
Agentic & Tool Use Not comparable
DeepSeek-R1-Distill-Llama-70B: —, GPT-5-Codex: 31.0 (#72)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | GPT-5-Codex |
|---|---|---|
| Terminal-Bench | — | 44.3% |
Reasoning GPT-5-Codex leads
DeepSeek-R1-Distill-Llama-70B: 24.9 (#156), GPT-5-Codex: 30.9 (#83)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | GPT-5-Codex |
|---|---|---|
| Kagi LLM Benchmark | 52.3% | 70.3% |
| LiveBench Reasoning | 67.6% | — |
| LiveBench Data Analysis | 55.9% | — |
| LiveBench | 54.5% | — |
Math Not comparable
DeepSeek-R1-Distill-Llama-70B: 36.0 (#176), GPT-5-Codex: —
| Benchmark | DeepSeek-R1-Distill-Llama-70B | GPT-5-Codex |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 51.4% | — |
| LiveBench Math | 58.1% | — |
| MATH Level 5 | 89.9% | — |
Knowledge Not comparable
DeepSeek-R1-Distill-Llama-70B: 30.7 (#225), GPT-5-Codex: —
| Benchmark | DeepSeek-R1-Distill-Llama-70B | GPT-5-Codex |
|---|---|---|
| GPQA Diamond | 55.7% | — |
Instruction Following Not comparable
DeepSeek-R1-Distill-Llama-70B: 68.2 (#190), GPT-5-Codex: —
| Benchmark | DeepSeek-R1-Distill-Llama-70B | GPT-5-Codex |
|---|---|---|
| LiveBench Instruction Following | 69.9% | — |
Writing & Preference Not comparable
DeepSeek-R1-Distill-Llama-70B: 49.0 (#194), GPT-5-Codex: —
| Benchmark | DeepSeek-R1-Distill-Llama-70B | GPT-5-Codex |
|---|---|---|
| LiveBench Language | 23.8% | — |
Frequently asked questions
Is DeepSeek-R1-Distill-Llama-70B better than GPT-5-Codex?
DeepSeek-R1-Distill-Llama-70B and GPT-5-Codex score almost the same on the Noometry Index (37.8 vs 37.9), so choose on price, context window or the category you care about most.
Is DeepSeek-R1-Distill-Llama-70B or GPT-5-Codex better for coding?
GPT-5-Codex scores higher on coding benchmarks: 42.4 versus 36.8 in the Noometry coding category.
How many benchmarks do DeepSeek-R1-Distill-Llama-70B and GPT-5-Codex share?
1 benchmark has published results for both models. DeepSeek-R1-Distill-Llama-70B has 13 scored results on Noometry and GPT-5-Codex has 3.