Model comparison
DeepSeek-R1-Distill-Llama-70B vs Mercury
DeepSeek-R1-Distill-Llama-70B and Mercury score almost the same on the Noometry Index (37.8 vs 37.6), 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 3 categories and Mercury in 1 category; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-R1-Distill-Llama-70B leads 24.9 to 17.5.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 52.3% for DeepSeek-R1-Distill-Llama-70B and 21.6% for Mercury.
- DeepSeek-R1-Distill-Llama-70B has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-R1-Distill-Llama-70B | Mercury | |
|---|---|---|
| Provider | DeepSeek | Inception |
| Noometry Index | 37.8 | 37.6 |
| Released | 2025-01-20 | — |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 13 | 9 |
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Category by category
Coding Mercury leads
DeepSeek-R1-Distill-Llama-70B: 36.8 (#202), Mercury: 38.7 (#170)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Mercury |
|---|---|---|
| BigCodeBench Instruct | 35.3% | — |
| LiveBench Coding | 51.6% | — |
| LMArena Coding | — | 1322 |
| BigCodeBench Complete | 49.9% | — |
Reasoning DeepSeek-R1-Distill-Llama-70B leads
DeepSeek-R1-Distill-Llama-70B: 24.9 (#156), Mercury: 17.5 (#293)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Mercury |
|---|---|---|
| Kagi LLM Benchmark | 52.3% | 21.6% |
| LiveBench Reasoning | 67.6% | — |
| LMArena Hard Prompts | — | 1285 |
| LiveBench Data Analysis | 55.9% | — |
| LiveBench | 54.5% | — |
Math Not comparable
DeepSeek-R1-Distill-Llama-70B: 36.0 (#176), Mercury: —
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Mercury |
|---|---|---|
| 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), Mercury: —
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Mercury |
|---|---|---|
| GPQA Diamond | 55.7% | — |
Multilingual Not comparable
DeepSeek-R1-Distill-Llama-70B: —, Mercury: 41.6 (#206)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Mercury |
|---|---|---|
| LMArena Non-English | — | 1260 |
Instruction Following DeepSeek-R1-Distill-Llama-70B leads
DeepSeek-R1-Distill-Llama-70B: 68.2 (#190), Mercury: 65.2 (#224)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Mercury |
|---|---|---|
| LiveBench Instruction Following | 69.9% | — |
| LMArena Instruction Following | — | 1239 |
Long Context Not comparable
DeepSeek-R1-Distill-Llama-70B: —, Mercury: 38.4 (#198)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Mercury |
|---|---|---|
| LMArena Longer Query | — | 1266 |
Writing & Preference DeepSeek-R1-Distill-Llama-70B leads
DeepSeek-R1-Distill-Llama-70B: 49.0 (#194), Mercury: 46.2 (#221)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Mercury |
|---|---|---|
| LMArena Text | — | 1282 |
| LMArena Creative Writing | — | 1191 |
| LMArena Multi-Turn | — | 1282 |
| LiveBench Language | 23.8% | — |
Frequently asked questions
Is DeepSeek-R1-Distill-Llama-70B better than Mercury?
DeepSeek-R1-Distill-Llama-70B and Mercury score almost the same on the Noometry Index (37.8 vs 37.6), so choose on price, context window or the category you care about most.
Is DeepSeek-R1-Distill-Llama-70B or Mercury better for coding?
Mercury scores higher on coding benchmarks: 38.7 versus 36.8 in the Noometry coding category.
How many benchmarks do DeepSeek-R1-Distill-Llama-70B and Mercury share?
1 benchmark has published results for both models. DeepSeek-R1-Distill-Llama-70B has 13 scored results on Noometry and Mercury has 9.