Model comparison
Laguna M.1 vs Llama 3.1-70B
Laguna M.1 is the stronger model overall, scoring 31.9 to 29.4 on the Noometry Index.
Last verified . 0 shared benchmarks.
Poolside
MetaSummary
- The widest gap is in math, where Laguna M.1 leads 20.3 to 12.7.
- Laguna M.1 accepts more context: 262K tokens versus 128K.
Side by side
| Laguna M.1 | Llama 3.1-70B | |
|---|---|---|
| Provider | Poolside | Meta |
| Noometry Index | 31.9 | 29.4 |
| Released | 2026-04-28 | 2024-07-23 |
| Weights | Open | Open |
| Context window | 262K | 128K |
| Max output | 33K | 4K |
| Input $ / M tokens | — | $0.40 |
| Output $ / M tokens | — | $0.40 |
| Results tracked | 3 | 35 |
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Category by category
Coding Laguna M.1 leads
Laguna M.1: 36.4 (#195), Llama 3.1-70B: 29.8 (#292)
| Benchmark | Laguna M.1 | Llama 3.1-70B |
|---|---|---|
| LMArena WebDev | 1348 | — |
| WeirdML | — | 9% |
| BigCodeBench Instruct | — | 46.1% |
| LMArena Coding | — | 1260 |
| BigCodeBench Complete | — | 54.8% |
Agentic & Tool Use Not comparable
Laguna M.1: —, Llama 3.1-70B: 24.9 (#104)
| Benchmark | Laguna M.1 | Llama 3.1-70B |
|---|---|---|
| TheAgentCompany | — | 6.9% |
| BALROG | — | 27.9% |
Reasoning Laguna M.1 leads
Laguna M.1: 21.9 (#187), Llama 3.1-70B: 20.8 (#215)
| Benchmark | Laguna M.1 | Llama 3.1-70B |
|---|---|---|
| LMArena Hard Prompts | — | 1241 |
| DTBench | — | 60% |
| LMCA | — | 14.8% |
| Surface Evolver Bench | 15.6% | — |
| Epoch Capabilities Index | — | 125.91 |
Math Laguna M.1 leads
Laguna M.1: 20.3 (#276), Llama 3.1-70B: 12.7 (#298)
| Benchmark | Laguna M.1 | Llama 3.1-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 3.6% |
| ProofBench | 0% | — |
| Omni-MATH | — | 21% |
| LMArena Math | — | 1252 |
| MATH Level 5 | — | 36.7% |
Knowledge Not comparable
Laguna M.1: —, Llama 3.1-70B: 24.1 (#264)
| Benchmark | Laguna M.1 | Llama 3.1-70B |
|---|---|---|
| GPQA Diamond | — | 44.2% |
| MMLU-Pro | — | 65.3% |
| GPQA (HELM) | — | 42.6% |
| LMArena Expert | — | 1209 |
| MMLU | — | 80.1% |
Multilingual Not comparable
Laguna M.1: —, Llama 3.1-70B: 38.9 (#220)
| Benchmark | Laguna M.1 | Llama 3.1-70B |
|---|---|---|
| LMArena Non-English | — | 1219 |
| LMArena Chinese | — | 1215 |
| LMArena French | — | 1260 |
| LMArena German | — | 1222 |
| LMArena Japanese | — | 1132 |
| LMArena Korean | — | 1140 |
| LMArena Russian | — | 1234 |
| LMArena Spanish | — | 1253 |
Instruction Following Not comparable
Laguna M.1: —, Llama 3.1-70B: 65.5 (#218)
| Benchmark | Laguna M.1 | Llama 3.1-70B |
|---|---|---|
| IFEval | — | 82.1% |
| LMArena Instruction Following | — | 1231 |
Long Context Not comparable
Laguna M.1: —, Llama 3.1-70B: 37.6 (#208)
| Benchmark | Laguna M.1 | Llama 3.1-70B |
|---|---|---|
| LMArena Longer Query | — | 1241 |
Writing & Preference Not comparable
Laguna M.1: —, Llama 3.1-70B: 35.6 (#262)
| Benchmark | Laguna M.1 | Llama 3.1-70B |
|---|---|---|
| LMArena Text | — | 1261 |
| LMArena Creative Writing | — | 1232 |
| EQ-Bench Creative Writing | — | 784 |
| WildBench | — | 75.8% |
| LMArena Multi-Turn | — | 1256 |
Frequently asked questions
Is Laguna M.1 better than Llama 3.1-70B?
Laguna M.1 is the stronger model overall, scoring 31.9 to 29.4 on the Noometry Index.
Is Laguna M.1 or Llama 3.1-70B better for coding?
Laguna M.1 scores higher on coding benchmarks: 36.4 versus 29.8 in the Noometry coding category.
Which has the bigger context window?
Laguna M.1 does, with 262K tokens against 128K.
How many benchmarks do Laguna M.1 and Llama 3.1-70B share?
0 benchmarks have published results for both models. Laguna M.1 has 3 scored results on Noometry and Llama 3.1-70B has 35.