Model comparison
GPT-5.4 nano vs Wizardlm 13b
GPT-5.4 nano is the stronger model overall, scoring 41.9 to 30.8 on the Noometry Index.
Last verified . 10 shared benchmarks.
MicrosoftSummary
- They share 10 benchmarks with published results for both. GPT-5.4 nano scores higher in 7 categories and Wizardlm 13b in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.4 nano leads 55.9 to 30.7.
- Wizardlm 13b has downloadable open weights; the other is API-only.
Side by side
| GPT-5.4 nano | Wizardlm 13b | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 41.9 | 30.8 |
| Released | 2026-03-17 | — |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.20 | — |
| Output $ / M tokens | $1.25 | — |
| Results tracked | 40 | 10 |
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Category by category
Coding GPT-5.4 nano leads
GPT-5.4 nano: 43.1 (#82), Wizardlm 13b: 29.6 (#293)
| Benchmark | GPT-5.4 nano | Wizardlm 13b |
|---|---|---|
| LMArena Coding | 1404 | 1035 |
| SciCode | 46.9% | — |
| WeirdML | 49.2% | — |
| ALE-Bench | 1,005 | — |
Reasoning GPT-5.4 nano leads
GPT-5.4 nano: 23.8 (#159), Wizardlm 13b: 18.5 (#265)
| Benchmark | GPT-5.4 nano | Wizardlm 13b |
|---|---|---|
| LMArena Hard Prompts | 1380 | 1018 |
| ARC-AGI-2 | 5.7% | — |
| Kagi LLM Benchmark | 39.7% | — |
| ARC-AGI-1 | 51.5% | — |
| CritPt | 9.3% | — |
| Chess Puzzles | 30% | — |
| Mystery Game Puzzles | 9% | — |
| DTBench | 80.3% | — |
| LMCA | 36.9% | — |
| Epoch Capabilities Index | 145.78 | — |
| ForecastBench | 57.3 | — |
Math GPT-5.4 nano leads
GPT-5.4 nano: 40.7 (#76), Wizardlm 13b: 27.8 (#235)
| Benchmark | GPT-5.4 nano | Wizardlm 13b |
|---|---|---|
| LMArena Math | 1406 | 1017 |
| FrontierMath (Tiers 1-3) | 44.9% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 87.8% | — |
| ProofBench | 5% | — |
| FrontierMath (Feb 2025 set) | 25.9% | — |
| FrontierMath Tier 4 (v1) | 6.3% | — |
Knowledge Not comparable
GPT-5.4 nano: 41.8 (#94), Wizardlm 13b: —
| Benchmark | GPT-5.4 nano | Wizardlm 13b |
|---|---|---|
| GPQA Diamond | 78.5% | — |
| SimpleQA Verified | 11.7% | — |
| Vectara Hallucination Rate | 3.1% | — |
| LMArena Expert | 1397 | — |
Multimodal Not comparable
GPT-5.4 nano: 36.0 (#73), Wizardlm 13b: —
| Benchmark | GPT-5.4 nano | Wizardlm 13b |
|---|---|---|
| LMArena Vision | 1196 | — |
Multilingual GPT-5.4 nano leads
GPT-5.4 nano: 48.8 (#136), Wizardlm 13b: 27.3 (#272)
| Benchmark | GPT-5.4 nano | Wizardlm 13b |
|---|---|---|
| LMArena Non-English | 1359 | 1034 |
| LMArena Chinese | 1391 | 1023 |
| LMArena French | 1396 | — |
| LMArena German | 1368 | — |
| LMArena Japanese | 1342 | — |
| LMArena Korean | 1321 | — |
| LMArena Russian | 1363 | — |
| LMArena Spanish | 1368 | — |
Instruction Following GPT-5.4 nano leads
GPT-5.4 nano: 72.1 (#139), Wizardlm 13b: 53.7 (#280)
| Benchmark | GPT-5.4 nano | Wizardlm 13b |
|---|---|---|
| LMArena Instruction Following | 1362 | 1049 |
Long Context GPT-5.4 nano leads
GPT-5.4 nano: 41.6 (#131), Wizardlm 13b: 32.0 (#268)
| Benchmark | GPT-5.4 nano | Wizardlm 13b |
|---|---|---|
| LMArena Longer Query | 1365 | 1054 |
Writing & Preference GPT-5.4 nano leads
GPT-5.4 nano: 55.9 (#137), Wizardlm 13b: 30.7 (#282)
| Benchmark | GPT-5.4 nano | Wizardlm 13b |
|---|---|---|
| LMArena Text | 1372 | 1077 |
| LMArena Creative Writing | 1313 | 1090 |
| LMArena Multi-Turn | 1382 | 1047 |
Frequently asked questions
Is GPT-5.4 nano better than Wizardlm 13b?
GPT-5.4 nano is the stronger model overall, scoring 41.9 to 30.8 on the Noometry Index.
Is GPT-5.4 nano or Wizardlm 13b better for coding?
GPT-5.4 nano scores higher on coding benchmarks: 43.1 versus 29.6 in the Noometry coding category.
How many benchmarks do GPT-5.4 nano and Wizardlm 13b share?
10 benchmarks have published results for both models. GPT-5.4 nano has 40 scored results on Noometry and Wizardlm 13b has 10.