Model comparison
DeepSeek-R1-Distill-Qwen-32B vs Laguna M.1
DeepSeek-R1-Distill-Qwen-32B is the stronger model overall, scoring 35.5 to 32.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
PoolsideSummary
- The widest gap is in math, where DeepSeek-R1-Distill-Qwen-32B leads 34.5 to 21.1.
Side by side
| DeepSeek-R1-Distill-Qwen-32B | Laguna M.1 | |
|---|---|---|
| Provider | DeepSeek | Poolside |
| Noometry Index | 35.5 | 32.5 |
| Released | 2025-01-20 | 2026-04-28 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 33K |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 14 | 3 |
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Category by category
Coding Too close to call
DeepSeek-R1-Distill-Qwen-32B: 36.1 (#212), Laguna M.1: 36.6 (#204)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Laguna M.1 |
|---|---|---|
| LMArena WebDev | — | 1349 |
| BigCodeBench Instruct | 43.9% | — |
| LiveBench Coding | 33.7% | — |
| BigCodeBench Complete | 54.9% | — |
Agentic & Tool Use Not comparable
DeepSeek-R1-Distill-Qwen-32B: 28.1 (#94), Laguna M.1: —
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Laguna M.1 |
|---|---|---|
| BALROG | 19.5% | — |
Reasoning Laguna M.1 leads
DeepSeek-R1-Distill-Qwen-32B: 18.2 (#284), Laguna M.1: 23.1 (#184)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Laguna M.1 |
|---|---|---|
| Chess Puzzles | 1% | — |
| LiveBench Reasoning | 52.3% | — |
| LiveBench Data Analysis | 45.4% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 137.44 | — |
| LiveBench | 45.5% | — |
Math DeepSeek-R1-Distill-Qwen-32B leads
DeepSeek-R1-Distill-Qwen-32B: 34.5 (#194), Laguna M.1: 21.1 (#283)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Laguna M.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 55.6% | — |
| ProofBench | — | 0% |
| LiveBench Math | 59.4% | — |
Knowledge Not comparable
DeepSeek-R1-Distill-Qwen-32B: 35.7 (#182), Laguna M.1: —
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Laguna M.1 |
|---|---|---|
| GPQA Diamond | 64.1% | — |
Instruction Following Not comparable
DeepSeek-R1-Distill-Qwen-32B: 61.6 (#243), Laguna M.1: —
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Laguna M.1 |
|---|---|---|
| LiveBench Instruction Following | 55.7% | — |
Writing & Preference Not comparable
DeepSeek-R1-Distill-Qwen-32B: 49.6 (#188), Laguna M.1: —
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Laguna M.1 |
|---|---|---|
| LiveBench Language | 26.8% | — |
Frequently asked questions
Is DeepSeek-R1-Distill-Qwen-32B better than Laguna M.1?
DeepSeek-R1-Distill-Qwen-32B is the stronger model overall, scoring 35.5 to 32.5 on the Noometry Index.
Is DeepSeek-R1-Distill-Qwen-32B or Laguna M.1 better for coding?
They score almost the same on coding (36.1 vs 36.6); test both on your own repository before choosing.
How many benchmarks do DeepSeek-R1-Distill-Qwen-32B and Laguna M.1 share?
0 benchmarks have published results for both models. DeepSeek-R1-Distill-Qwen-32B has 14 scored results on Noometry and Laguna M.1 has 3.