Model comparison
Gemma 3 4B vs Qwen3-VL 235B-A22B
Qwen3-VL 235B-A22B is the stronger model overall, scoring 43.2 to 28.1 on the Noometry Index. Gemma 3 4B costs 24× less per token, which makes it the better buy when Qwen3-VL 235B-A22B's lead doesn't matter for your workload.
Last verified . 12 shared benchmarks.
Summary
- They share 12 benchmarks with published results for both. Gemma 3 4B 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 knowledge, where Qwen3-VL 235B-A22B leads 40.3 to 11.8.
- Gemma 3 4B is cheaper at $0.04 / $0.08 per million input/output tokens, against $0.70 / $2.80 for Qwen3-VL 235B-A22B.
Side by side
| Gemma 3 4B | Qwen3-VL 235B-A22B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 28.1 | 43.2 |
| Released | 2025-03-12 | 2025-04 |
| Weights | Open | Open |
| Context window | 131K | 131K |
| Max output | 4K | 33K |
| Input $ / M tokens | $0.04 | $0.70 |
| Output $ / M tokens | $0.08 | $2.80 |
| Results tracked | 22 | 18 |
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Category by category
Coding Qwen3-VL 235B-A22B leads
Gemma 3 4B: 35.9 (#215), Qwen3-VL 235B-A22B: 42.4 (#100)
| Benchmark | Gemma 3 4B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Coding | 1230 | 1439 |
Agentic & Tool Use Not comparable
Gemma 3 4B: 20.9 (#142), Qwen3-VL 235B-A22B: —
| Benchmark | Gemma 3 4B | Qwen3-VL 235B-A22B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 19.6% | — |
Reasoning Qwen3-VL 235B-A22B leads
Gemma 3 4B: 13.2 (#335), Qwen3-VL 235B-A22B: 29.3 (#92)
| Benchmark | Gemma 3 4B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Hard Prompts | 1253 | 1428 |
| Kagi LLM Benchmark | 25.2% | — |
| Chess Puzzles | 0% | — |
| DTBench | 50.9% | — |
| LMCA | 2.8% | — |
| Epoch Capabilities Index | 116.02 | — |
Math Qwen3-VL 235B-A22B leads
Gemma 3 4B: 16.8 (#292), Qwen3-VL 235B-A22B: 39.0 (#118)
| Benchmark | Gemma 3 4B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Math | 1239 | 1426 |
| OTIS Mock AIME 2024-2025 | 7.5% | — |
Knowledge Qwen3-VL 235B-A22B leads
Gemma 3 4B: 11.8 (#299), Qwen3-VL 235B-A22B: 40.3 (#121)
| Benchmark | Gemma 3 4B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Expert | 1223 | 1442 |
| GPQA Diamond | 23.2% | — |
| Vectara Hallucination Rate | 6.4% | — |
Multimodal Not comparable
Gemma 3 4B: —, Qwen3-VL 235B-A22B: 39.8 (#55)
| Benchmark | Gemma 3 4B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Vision | — | 1247 |
Multilingual Qwen3-VL 235B-A22B leads
Gemma 3 4B: 42.5 (#194), Qwen3-VL 235B-A22B: 51.9 (#97)
| Benchmark | Gemma 3 4B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Non-English | 1273 | 1405 |
| LMArena German | 1281 | 1424 |
| LMArena Russian | 1294 | 1408 |
| LMArena Chinese | — | 1463 |
| LMArena French | — | 1452 |
| LMArena Japanese | — | 1385 |
| LMArena Korean | — | 1394 |
| LMArena Spanish | — | 1428 |
Instruction Following Qwen3-VL 235B-A22B leads
Gemma 3 4B: 65.2 (#225), Qwen3-VL 235B-A22B: 74.2 (#101)
| Benchmark | Gemma 3 4B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Instruction Following | 1239 | 1406 |
Long Context Qwen3-VL 235B-A22B leads
Gemma 3 4B: 38.7 (#194), Qwen3-VL 235B-A22B: 43.4 (#98)
| Benchmark | Gemma 3 4B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Longer Query | 1273 | 1420 |
Writing & Preference Qwen3-VL 235B-A22B leads
Gemma 3 4B: 42.0 (#239), Qwen3-VL 235B-A22B: 60.2 (#99)
| Benchmark | Gemma 3 4B | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Text | 1291 | 1420 |
| LMArena Creative Writing | 1271 | 1366 |
| LMArena Multi-Turn | 1255 | 1428 |
| EQ-Bench Creative Writing | 1068 | — |
Frequently asked questions
Is Gemma 3 4B better than Qwen3-VL 235B-A22B?
Qwen3-VL 235B-A22B is the stronger model overall, scoring 43.2 to 28.1 on the Noometry Index. Gemma 3 4B costs 24× 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, Gemma 3 4B or Qwen3-VL 235B-A22B?
Gemma 3 4B is cheaper. It lists at $0.04 per million input tokens and $0.08 per million output tokens; Qwen3-VL 235B-A22B lists at $0.70 and $2.80.
Is Gemma 3 4B or Qwen3-VL 235B-A22B better for coding?
Qwen3-VL 235B-A22B scores higher on coding benchmarks: 42.4 versus 35.9 in the Noometry coding category.
Which has the bigger context window?
Both accept 131K tokens.
How many benchmarks do Gemma 3 4B and Qwen3-VL 235B-A22B share?
12 benchmarks have published results for both models. Gemma 3 4B has 22 scored results on Noometry and Qwen3-VL 235B-A22B has 18.