Model comparison
GPT-4o mini vs Laguna M.1
Laguna M.1 is the stronger model overall, scoring 31.9 to 25.4 on the Noometry Index.
Last verified . 0 shared benchmarks.
PoolsideSummary
- The widest gap is in coding, where Laguna M.1 leads 36.4 to 21.6.
- Laguna M.1 accepts more context: 262K tokens versus 128K.
- Laguna M.1 has downloadable open weights; the other is API-only.
Side by side
| GPT-4o mini | Laguna M.1 | |
|---|---|---|
| Provider | OpenAI | Poolside |
| Noometry Index | 25.4 | 31.9 |
| Released | 2024-07-18 | 2026-04-28 |
| Weights | Proprietary | Open |
| Context window | 128K | 262K |
| Max output | 16K | 33K |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 60 | 3 |
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Category by category
Coding Laguna M.1 leads
GPT-4o mini: 21.6 (#330), Laguna M.1: 36.4 (#195)
| Benchmark | GPT-4o mini | Laguna M.1 |
|---|---|---|
| Aider Polyglot | 3.6% | — |
| LMArena WebDev | — | 1348 |
| WeirdML | 11.8% | — |
| BigCodeBench Instruct | 46.1% | — |
| LiveBench Coding | 43.1% | — |
| LMArena Coding | 1290 | — |
| BigCodeBench Complete | 57.4% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 72.2% | — |
Agentic & Tool Use Not comparable
GPT-4o mini: 27.2 (#95), Laguna M.1: —
| Benchmark | GPT-4o mini | Laguna M.1 |
|---|---|---|
| BALROG | 17.4% | — |
Reasoning Laguna M.1 leads
GPT-4o mini: 8.7 (#343), Laguna M.1: 21.9 (#187)
| Benchmark | GPT-4o mini | Laguna M.1 |
|---|---|---|
| ARC-AGI-2 | 0% | — |
| SimpleBench | 10.7% | — |
| Kagi LLM Benchmark | 28.8% | — |
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | 32.8% | — |
| LMArena Hard Prompts | 1267 | — |
| Mystery Game Puzzles | 12% | — |
| DTBench | 54.4% | — |
| LiveBench Data Analysis | 50% | — |
| LMCA | 10.4% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 126.56 | — |
| LiveBench | 41.3% | — |
| PIQA | 88.7% | — |
Math Laguna M.1 leads
GPT-4o mini: 9.9 (#307), Laguna M.1: 20.3 (#276)
| Benchmark | GPT-4o mini | Laguna M.1 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 0.7% | — |
| OTIS Mock AIME 2024-2025 | 6.9% | — |
| ProofBench | — | 0% |
| Omni-MATH | 28% | — |
| LiveBench Math | 36.3% | — |
| LMArena Math | 1267 | — |
| MATH Level 5 | 52.6% | — |
| GSM8K | 91.3% | — |
Knowledge Not comparable
GPT-4o mini: 17.7 (#279), Laguna M.1: —
| Benchmark | GPT-4o mini | Laguna M.1 |
|---|---|---|
| GPQA Diamond | 37.7% | — |
| SimpleQA Verified | 8.3% | — |
| MMLU-Pro | 60.3% | — |
| Confabulations | 37.2% | — |
| GPQA (HELM) | 36.8% | — |
| LMArena Expert | 1235 | — |
| BoolQ | 88.7% | — |
| MMLU | 81.8% | — |
Multimodal Not comparable
GPT-4o mini: 25.3 (#117), Laguna M.1: —
| Benchmark | GPT-4o mini | Laguna M.1 |
|---|---|---|
| LMArena Vision | 1066 | — |
| Video-MME | 64.8% | — |
| GeoBench | 64% | — |
| VPCT | 34% | — |
Multilingual Not comparable
GPT-4o mini: 42.2 (#194), Laguna M.1: —
| Benchmark | GPT-4o mini | Laguna M.1 |
|---|---|---|
| LMArena Non-English | 1266 | — |
| LMArena Chinese | 1264 | — |
| LMArena French | 1296 | — |
| LMArena German | 1272 | — |
| LMArena Japanese | 1216 | — |
| LMArena Korean | 1195 | — |
| LMArena Russian | 1275 | — |
| LMArena Spanish | 1276 | — |
Instruction Following Not comparable
GPT-4o mini: 62.1 (#234), Laguna M.1: —
| Benchmark | GPT-4o mini | Laguna M.1 |
|---|---|---|
| LiveBench Instruction Following | 56.8% | — |
| IFEval | 78.2% | — |
| LMArena Instruction Following | 1259 | — |
Long Context Not comparable
GPT-4o mini: 39.1 (#181), Laguna M.1: —
| Benchmark | GPT-4o mini | Laguna M.1 |
|---|---|---|
| LMArena Longer Query | 1289 | — |
Writing & Preference Not comparable
GPT-4o mini: 39.7 (#243), Laguna M.1: —
| Benchmark | GPT-4o mini | Laguna M.1 |
|---|---|---|
| LMArena Text | 1286 | — |
| LMArena Creative Writing | 1268 | — |
| Short-Story Creative Writing | 67.2% | — |
| EQ-Bench Creative Writing | 873 | — |
| WildBench | 79.1% | — |
| LMArena Multi-Turn | 1285 | — |
| LiveBench Language | 28.6% | — |
Frequently asked questions
Is GPT-4o mini better than Laguna M.1?
Laguna M.1 is the stronger model overall, scoring 31.9 to 25.4 on the Noometry Index.
Is GPT-4o mini or Laguna M.1 better for coding?
Laguna M.1 scores higher on coding benchmarks: 36.4 versus 21.6 in the Noometry coding category.
Which has the bigger context window?
Laguna M.1 does, with 262K tokens against 128K.
How many benchmarks do GPT-4o mini and Laguna M.1 share?
0 benchmarks have published results for both models. GPT-4o mini has 60 scored results on Noometry and Laguna M.1 has 3.