Model comparison
Claude Sonnet 5.5 vs Llama 3.2 1B
Claude Sonnet 5.5 is the stronger model overall, scoring 60.5 to 19.9 on the Noometry Index. Llama 3.2 1B costs 57× less per token, which makes it the better buy when Claude Sonnet 5.5's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
Summary
- They share 2 benchmarks with published results for both. Claude Sonnet 5.5 scores higher in 5 categories and Llama 3.2 1B in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Sonnet 5.5 leads 88.7 to 9.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for Claude Sonnet 5.5 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 $2 / $10 for Claude Sonnet 5.5.
- Claude Sonnet 5.5 accepts more context: 1M tokens versus 60K.
- Llama 3.2 1B has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 5.5 | Llama 3.2 1B | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 60.5 | 19.9 |
| Released | 2026-09-28 | 2024-09-24 |
| Weights | Proprietary | Open |
| Context window | 1M | 60K |
| Max output | 128K | 54K |
| Input $ / M tokens | $2 | $0.027 |
| Output $ / M tokens | $10 | $0.20 |
| Results tracked | 16 | 22 |
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Category by category
Coding Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 65.5 (#6), Llama 3.2 1B: 20.6 (#333)
| Benchmark | Claude Sonnet 5.5 | Llama 3.2 1B |
|---|---|---|
| FrontierCode | 52.1% | — |
| CursorBench | 55.5% | — |
| LMArena WebDev | 1699 | — |
| FrontierSWE | 61.9% | — |
| SciCode | 61% | — |
| BigCodeBench Instruct | — | 8.2% |
| LMArena Coding | — | 1071 |
| BigCodeBench Complete | — | 11.3% |
| ALE-Bench | 1,819 | — |
Agentic & Tool Use Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 44.9 (#14), Llama 3.2 1B: 14.5 (#142)
| Benchmark | Claude Sonnet 5.5 | Llama 3.2 1B |
|---|---|---|
| APEX-Agents | 75.5% | — |
| Berkeley Function Calling Leaderboard | — | 10.8% |
| BALROG | — | 6.6% |
Reasoning Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 52.4 (#29), Llama 3.2 1B: 15.6 (#304)
| Benchmark | Claude Sonnet 5.5 | Llama 3.2 1B |
|---|---|---|
| CritPt | 31.4% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | — | 1044 |
| Mystery Game Puzzles | 65% | — |
| Epoch Capabilities Index | — | 101.95 |
Math Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 88.7 (#4), Llama 3.2 1B: 9.7 (#308)
| Benchmark | Claude Sonnet 5.5 | Llama 3.2 1B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 0.6% |
| FrontierMath (Tiers 1-3) | 88.8% | — |
| FrontierMath Tier 4 | 80.5% | — |
| ProofBench | 100% | — |
| LMArena Math | — | 1086 |
Knowledge Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 66.0 (#11), Llama 3.2 1B: 7.2 (#307)
| Benchmark | Claude Sonnet 5.5 | Llama 3.2 1B |
|---|---|---|
| GPQA Diamond | 95.6% | 23.9% |
| SimpleQA Verified | 46.5% | — |
| LMArena Expert | — | 1007 |
Multimodal Not comparable
Claude Sonnet 5.5: 53.2 (#5), Llama 3.2 1B: —
| Benchmark | Claude Sonnet 5.5 | Llama 3.2 1B |
|---|---|---|
| Furniture Assembly | 75% | — |
Multilingual Not comparable
Claude Sonnet 5.5: —, Llama 3.2 1B: 23.9 (#287)
| Benchmark | Claude Sonnet 5.5 | Llama 3.2 1B |
|---|---|---|
| LMArena Non-English | — | 973 |
| LMArena Chinese | — | 958 |
| LMArena German | — | 1014 |
| LMArena Russian | — | 941 |
Instruction Following Not comparable
Claude Sonnet 5.5: —, Llama 3.2 1B: 52.6 (#285)
| Benchmark | Claude Sonnet 5.5 | Llama 3.2 1B |
|---|---|---|
| LMArena Instruction Following | — | 1031 |
Long Context Not comparable
Claude Sonnet 5.5: —, Llama 3.2 1B: 31.9 (#269)
| Benchmark | Claude Sonnet 5.5 | Llama 3.2 1B |
|---|---|---|
| LMArena Longer Query | — | 1050 |
Writing & Preference Not comparable
Claude Sonnet 5.5: —, Llama 3.2 1B: 21.4 (#305)
| Benchmark | Claude Sonnet 5.5 | Llama 3.2 1B |
|---|---|---|
| LMArena Text | — | 1055 |
| LMArena Creative Writing | — | 1033 |
| EQ-Bench Creative Writing | — | 200 |
| LMArena Multi-Turn | — | 1030 |
Frequently asked questions
Is Claude Sonnet 5.5 better than Llama 3.2 1B?
Claude Sonnet 5.5 is the stronger model overall, scoring 60.5 to 19.9 on the Noometry Index. Llama 3.2 1B costs 57× less per token, which makes it the better buy when Claude Sonnet 5.5's lead doesn't matter for your workload.
Which is cheaper, Claude Sonnet 5.5 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 Sonnet 5.5 lists at $2 and $10.
Is Claude Sonnet 5.5 or Llama 3.2 1B better for coding?
Claude Sonnet 5.5 scores higher on coding benchmarks: 65.5 versus 20.6 in the Noometry coding category.
Which has the bigger context window?
Claude Sonnet 5.5 does, with 1M tokens against 60K.
How many benchmarks do Claude Sonnet 5.5 and Llama 3.2 1B share?
2 benchmarks have published results for both models. Claude Sonnet 5.5 has 16 scored results on Noometry and Llama 3.2 1B has 22.