Model comparison
Llama 3.2 1B vs Qwen3-VL 235B-A22B
Qwen3-VL 235B-A22B is the stronger model overall, scoring 43.2 to 20.1 on the Noometry Index. Llama 3.2 1B costs 17× less per token, which makes it the better buy when Qwen3-VL 235B-A22B's lead doesn't matter for your workload.
Last verified . 13 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 13 benchmarks with published results for both. Llama 3.2 1B scores higher in 0 categories and Qwen3-VL 235B-A22B in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3-VL 235B-A22B leads 60.2 to 21.3.
- Llama 3.2 1B is cheaper at $0.027 / $0.20 per million input/output tokens, against $0.70 / $2.80 for Qwen3-VL 235B-A22B.
- Qwen3-VL 235B-A22B accepts more context: 131K tokens versus 60K.
Side by side
| Llama 3.2 1B | Qwen3-VL 235B-A22B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 20.1 | 43.2 |
| Released | 2024-09-24 | 2025-04 |
| Weights | Open | Open |
| Context window | 60K | 131K |
| Max output | 54K | 33K |
| Input $ / M tokens | $0.027 | $0.70 |
| Output $ / M tokens | $0.20 | $2.80 |
| Results tracked | 22 | 18 |
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Category by category
Coding Qwen3-VL 235B-A22B leads
Llama 3.2 1B: 21.1 (#338), Qwen3-VL 235B-A22B: 42.4 (#100)
| Benchmark | Llama 3.2 1B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Coding | 1070 | 1439 |
| BigCodeBench Instruct | 8.2% | — |
| BigCodeBench Complete | 11.3% | — |
Agentic & Tool Use Not comparable
Llama 3.2 1B: 14.6 (#150), Qwen3-VL 235B-A22B: —
| Benchmark | Llama 3.2 1B | Qwen3-VL 235B-A22B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 10.8% | — |
| BALROG | 6.6% | — |
Reasoning Qwen3-VL 235B-A22B leads
Llama 3.2 1B: 16.2 (#308), Qwen3-VL 235B-A22B: 29.3 (#92)
| Benchmark | Llama 3.2 1B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Hard Prompts | 1044 | 1428 |
| Chess Puzzles | 0% | — |
| Epoch Capabilities Index | 101.99 | — |
Math Qwen3-VL 235B-A22B leads
Llama 3.2 1B: 10.4 (#313), Qwen3-VL 235B-A22B: 39.0 (#118)
| Benchmark | Llama 3.2 1B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Math | 1086 | 1426 |
| OTIS Mock AIME 2024-2025 | 0.6% | — |
Knowledge Qwen3-VL 235B-A22B leads
Llama 3.2 1B: 7.2 (#312), Qwen3-VL 235B-A22B: 40.3 (#121)
| Benchmark | Llama 3.2 1B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Expert | 1007 | 1442 |
| GPQA Diamond | 23.9% | — |
Multimodal Not comparable
Llama 3.2 1B: —, Qwen3-VL 235B-A22B: 39.8 (#55)
| Benchmark | Llama 3.2 1B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Vision | — | 1247 |
Multilingual Qwen3-VL 235B-A22B leads
Llama 3.2 1B: 23.8 (#292), Qwen3-VL 235B-A22B: 51.9 (#97)
| Benchmark | Llama 3.2 1B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Non-English | 973 | 1405 |
| LMArena Chinese | 959 | 1463 |
| LMArena German | 1014 | 1424 |
| LMArena Russian | 941 | 1408 |
| LMArena French | — | 1452 |
| LMArena Japanese | — | 1385 |
| LMArena Korean | — | 1394 |
| LMArena Spanish | — | 1428 |
Instruction Following Qwen3-VL 235B-A22B leads
Llama 3.2 1B: 52.4 (#290), Qwen3-VL 235B-A22B: 74.2 (#101)
| Benchmark | Llama 3.2 1B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Instruction Following | 1031 | 1406 |
Long Context Qwen3-VL 235B-A22B leads
Llama 3.2 1B: 31.9 (#274), Qwen3-VL 235B-A22B: 43.4 (#98)
| Benchmark | Llama 3.2 1B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Longer Query | 1050 | 1420 |
Writing & Preference Qwen3-VL 235B-A22B leads
Llama 3.2 1B: 21.3 (#310), Qwen3-VL 235B-A22B: 60.2 (#99)
| Benchmark | Llama 3.2 1B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Text | 1055 | 1420 |
| LMArena Creative Writing | 1033 | 1366 |
| LMArena Multi-Turn | 1030 | 1428 |
| EQ-Bench Creative Writing | 200 | — |
Frequently asked questions
Is Llama 3.2 1B better than Qwen3-VL 235B-A22B?
Qwen3-VL 235B-A22B is the stronger model overall, scoring 43.2 to 20.1 on the Noometry Index. Llama 3.2 1B costs 17× less per token, which makes it the better buy when Qwen3-VL 235B-A22B's lead doesn't matter for your workload.
Which is cheaper, Llama 3.2 1B or Qwen3-VL 235B-A22B?
Llama 3.2 1B is cheaper. It lists at $0.027 per million input tokens and $0.20 per million output tokens; Qwen3-VL 235B-A22B lists at $0.70 and $2.80.
Is Llama 3.2 1B or Qwen3-VL 235B-A22B better for coding?
Qwen3-VL 235B-A22B scores higher on coding benchmarks: 42.4 versus 21.1 in the Noometry coding category.
Which has the bigger context window?
Qwen3-VL 235B-A22B does, with 131K tokens against 60K.
How many benchmarks do Llama 3.2 1B and Qwen3-VL 235B-A22B share?
13 benchmarks have published results for both models. Llama 3.2 1B has 22 scored results on Noometry and Qwen3-VL 235B-A22B has 18.