Model comparison
Claude Fable 5.1 vs Llama 3.2 1B
Claude Fable 5.1 is the stronger model overall, scoring 69.0 to 20.1 on the Noometry Index. Llama 3.2 1B costs 284× less per token, which makes it the better buy when Claude Fable 5.1's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
MetaSummary
- They share 17 benchmarks with published results for both. Claude Fable 5.1 scores higher in 9 categories and Llama 3.2 1B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Fable 5.1 leads 89.6 to 10.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for Claude Fable 5.1 and 0.6% for Llama 3.2 1B.
- Llama 3.2 1B is cheaper at $0.027 / $0.20 per million input/output tokens, against $10 / $50 for Claude Fable 5.1.
- Claude Fable 5.1 accepts more context: 1M tokens versus 60K.
- Llama 3.2 1B has downloadable open weights; the other is API-only.
Side by side
| Claude Fable 5.1 | Llama 3.2 1B | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 69.0 | 20.1 |
| Released | 2026-09-01 | 2024-09-24 |
| Weights | Proprietary | Open |
| Context window | 1M | 60K |
| Max output | 128K | 54K |
| Input $ / M tokens | $10 | $0.027 |
| Output $ / M tokens | $50 | $0.20 |
| Results tracked | 52 | 22 |
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Category by category
Coding Claude Fable 5.1 leads
Claude Fable 5.1: 74.7 (#1), Llama 3.2 1B: 21.1 (#338)
| Benchmark | Claude Fable 5.1 | Llama 3.2 1B |
|---|---|---|
| LMArena Coding | 1528 | 1070 |
| FrontierCode | 50.9% | — |
| CursorBench | 51.8% | — |
| LMArena WebDev | 1744 | — |
| FrontierSWE | 56.3% | — |
| SciCode | 63.1% | — |
| GSO | 88.2% | — |
| WeirdML | 92.9% | — |
| BigCodeBench Instruct | — | 8.2% |
| MirrorCode | 73.3% | — |
| BigCodeBench Complete | — | 11.3% |
| ALE-Bench | 2,143 | — |
Agentic & Tool Use Claude Fable 5.1 leads
Claude Fable 5.1: 50.7 (#5), Llama 3.2 1B: 14.6 (#150)
| Benchmark | Claude Fable 5.1 | Llama 3.2 1B |
|---|---|---|
| APEX-Agents | 68.6% | — |
| Berkeley Function Calling Leaderboard | — | 10.8% |
| Remote Labor Index | 17.9% | — |
| BALROG | — | 6.6% |
| GDP.pdf | 29.6% | — |
| Vending-Bench 2 | 5,422 | — |
Reasoning Claude Fable 5.1 leads
Claude Fable 5.1: 76.7 (#7), Llama 3.2 1B: 16.2 (#308)
| Benchmark | Claude Fable 5.1 | Llama 3.2 1B |
|---|---|---|
| Chess Puzzles | 47% | 0% |
| LMArena Hard Prompts | 1526 | 1044 |
| Epoch Capabilities Index | 164.7 | 101.99 |
| ARC-AGI-2 | 90% | — |
| NYT Connections (extended) | 90% | — |
| ARC-AGI-1 | 97.5% | — |
| CritPt | 31.1% | — |
| EBR-Bench | 57.1% | — |
| Mystery Game Puzzles | 58% | — |
| DTBench | 97.6% | — |
| LMCA | 65.5% | — |
Math Claude Fable 5.1 leads
Claude Fable 5.1: 89.6 (#4), Llama 3.2 1B: 10.4 (#313)
| Benchmark | Claude Fable 5.1 | Llama 3.2 1B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 0.6% |
| LMArena Math | 1525 | 1086 |
| FrontierMath (Tiers 1-3) | 90.2% | — |
| FrontierMath Tier 4 | 87.8% | — |
| ProofBench | 100% | — |
| FrontierMath Erdős | 0% | — |
Knowledge Claude Fable 5.1 leads
Claude Fable 5.1: 69.6 (#6), Llama 3.2 1B: 7.2 (#312)
| Benchmark | Claude Fable 5.1 | Llama 3.2 1B |
|---|---|---|
| LMArena Expert | 1535 | 1007 |
| GPQA Diamond | — | 23.9% |
| Humanity's Last Exam | 46.5% | — |
| SimpleQA Verified | 70.8% | — |
Multimodal Not comparable
Claude Fable 5.1: 53.9 (#4), Llama 3.2 1B: —
| Benchmark | Claude Fable 5.1 | Llama 3.2 1B |
|---|---|---|
| LMArena Vision | 1318 | — |
| Blueprint-Bench 2 | 41.9% | — |
| Furniture Assembly | 70% | — |
| LMArena Document | 1513 | — |
Multilingual Claude Fable 5.1 leads
Claude Fable 5.1: 59.1 (#3), Llama 3.2 1B: 23.8 (#292)
| Benchmark | Claude Fable 5.1 | Llama 3.2 1B |
|---|---|---|
| LMArena Non-English | 1507 | 973 |
| LMArena Chinese | 1586 | 959 |
| LMArena German | 1500 | 1014 |
| LMArena Russian | 1521 | 941 |
| LMArena French | 1525 | — |
| LMArena Japanese | 1543 | — |
| LMArena Korean | 1534 | — |
| LMArena Spanish | 1516 | — |
Instruction Following Claude Fable 5.1 leads
Claude Fable 5.1: 79.2 (#6), Llama 3.2 1B: 52.4 (#290)
| Benchmark | Claude Fable 5.1 | Llama 3.2 1B |
|---|---|---|
| LMArena Instruction Following | 1517 | 1031 |
Long Context Claude Fable 5.1 leads
Claude Fable 5.1: 46.7 (#20), Llama 3.2 1B: 31.9 (#274)
| Benchmark | Claude Fable 5.1 | Llama 3.2 1B |
|---|---|---|
| LMArena Longer Query | 1522 | 1050 |
Writing & Preference Claude Fable 5.1 leads
Claude Fable 5.1: 79.2 (#2), Llama 3.2 1B: 21.3 (#310)
| Benchmark | Claude Fable 5.1 | Llama 3.2 1B |
|---|---|---|
| LMArena Text | 1510 | 1055 |
| LMArena Creative Writing | 1507 | 1033 |
| EQ-Bench Creative Writing | 2162 | 200 |
| LMArena Multi-Turn | 1492 | 1030 |
Frequently asked questions
Is Claude Fable 5.1 better than Llama 3.2 1B?
Claude Fable 5.1 is the stronger model overall, scoring 69.0 to 20.1 on the Noometry Index. Llama 3.2 1B costs 284× less per token, which makes it the better buy when Claude Fable 5.1's lead doesn't matter for your workload.
Which is cheaper, Claude Fable 5.1 or Llama 3.2 1B?
Llama 3.2 1B is cheaper. It lists at $0.027 per million input tokens and $0.20 per million output tokens; Claude Fable 5.1 lists at $10 and $50.
Is Claude Fable 5.1 or Llama 3.2 1B better for coding?
Claude Fable 5.1 scores higher on coding benchmarks: 74.7 versus 21.1 in the Noometry coding category.
Which has the bigger context window?
Claude Fable 5.1 does, with 1M tokens against 60K.
How many benchmarks do Claude Fable 5.1 and Llama 3.2 1B share?
17 benchmarks have published results for both models. Claude Fable 5.1 has 52 scored results on Noometry and Llama 3.2 1B has 22.