Model comparison
GPT-4.1 nano vs Wizardlm 13b
Wizardlm 13b is the stronger model overall, scoring 30.8 to 27.7 on the Noometry Index.
Last verified . 10 shared benchmarks.
MicrosoftSummary
- They share 10 benchmarks with published results for both. GPT-4.1 nano scores higher in 3 categories and Wizardlm 13b in 4 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GPT-4.1 nano leads 41.8 to 27.3.
- Wizardlm 13b has downloadable open weights; the other is API-only.
Side by side
| GPT-4.1 nano | Wizardlm 13b | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 27.7 | 30.8 |
| Released | 2025-04-14 | — |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 33K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 38 | 10 |
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Category by category
Coding Wizardlm 13b leads
GPT-4.1 nano: 23.8 (#325), Wizardlm 13b: 29.6 (#293)
| Benchmark | GPT-4.1 nano | Wizardlm 13b |
|---|---|---|
| LMArena Coding | 1306 | 1035 |
| Aider Polyglot | 8.9% | — |
| SciCode | 25.9% | — |
| WeirdML | 19% | — |
Agentic & Tool Use Not comparable
GPT-4.1 nano: 26.3 (#98), Wizardlm 13b: —
| Benchmark | GPT-4.1 nano | Wizardlm 13b |
|---|---|---|
| Berkeley Function Calling Leaderboard | 33% | — |
Reasoning Wizardlm 13b leads
GPT-4.1 nano: 8.6 (#344), Wizardlm 13b: 18.5 (#265)
| Benchmark | GPT-4.1 nano | Wizardlm 13b |
|---|---|---|
| LMArena Hard Prompts | 1286 | 1018 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 33.3% | — |
| ARC-AGI-1 | 0% | — |
| CritPt | 0% | — |
| DTBench | 52.5% | — |
| LMCA | 5.5% | — |
| Epoch Capabilities Index | 129.62 | — |
Math Wizardlm 13b leads
GPT-4.1 nano: 25.5 (#246), Wizardlm 13b: 27.8 (#235)
| Benchmark | GPT-4.1 nano | Wizardlm 13b |
|---|---|---|
| LMArena Math | 1274 | 1017 |
| OTIS Mock AIME 2024-2025 | 28.9% | — |
| Omni-MATH | 36.7% | — |
| MATH Level 5 | 70% | — |
| FrontierMath (Feb 2025 set) | 1% | — |
Knowledge Not comparable
GPT-4.1 nano: 21.8 (#268), Wizardlm 13b: —
| Benchmark | GPT-4.1 nano | Wizardlm 13b |
|---|---|---|
| GPQA Diamond | 48.9% | — |
| SimpleQA Verified | 6% | — |
| MMLU-Pro | 55% | — |
| GPQA (HELM) | 50.7% | — |
| LMArena Expert | 1272 | — |
Multimodal Not comparable
GPT-4.1 nano: 28.6 (#108), Wizardlm 13b: —
| Benchmark | GPT-4.1 nano | Wizardlm 13b |
|---|---|---|
| LMArena Vision | 1063 | — |
Multilingual GPT-4.1 nano leads
GPT-4.1 nano: 41.8 (#200), Wizardlm 13b: 27.3 (#272)
| Benchmark | GPT-4.1 nano | Wizardlm 13b |
|---|---|---|
| LMArena Non-English | 1260 | 1034 |
| LMArena Chinese | 1270 | 1023 |
| LMArena German | 1288 | — |
| LMArena Japanese | 1199 | — |
| LMArena Russian | 1261 | — |
Instruction Following GPT-4.1 nano leads
GPT-4.1 nano: 68.0 (#188), Wizardlm 13b: 53.7 (#280)
| Benchmark | GPT-4.1 nano | Wizardlm 13b |
|---|---|---|
| LMArena Instruction Following | 1267 | 1049 |
| IFEval | 84.3% | — |
Long Context Wizardlm 13b leads
GPT-4.1 nano: 23.7 (#291), Wizardlm 13b: 32.0 (#268)
| Benchmark | GPT-4.1 nano | Wizardlm 13b |
|---|---|---|
| LMArena Longer Query | 1283 | 1054 |
| Fiction.LiveBench | 25% | — |
Writing & Preference GPT-4.1 nano leads
GPT-4.1 nano: 40.7 (#238), Wizardlm 13b: 30.7 (#282)
| Benchmark | GPT-4.1 nano | Wizardlm 13b |
|---|---|---|
| LMArena Text | 1285 | 1077 |
| LMArena Creative Writing | 1260 | 1090 |
| LMArena Multi-Turn | 1277 | 1047 |
| EQ-Bench Creative Writing | 946 | — |
| WildBench | 81.2% | — |
Frequently asked questions
Is GPT-4.1 nano better than Wizardlm 13b?
Wizardlm 13b is the stronger model overall, scoring 30.8 to 27.7 on the Noometry Index.
Is GPT-4.1 nano or Wizardlm 13b better for coding?
Wizardlm 13b scores higher on coding benchmarks: 29.6 versus 23.8 in the Noometry coding category.
How many benchmarks do GPT-4.1 nano and Wizardlm 13b share?
10 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and Wizardlm 13b has 10.