Model comparison
Gemma 3n E4b IT vs Sonar
Sonar is the stronger model overall, scoring 37.8 to 36.7 on the Noometry Index. Gemma 3n E4b IT costs 13× less per token, which makes it the better buy when Sonar's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
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PerplexitySummary
- The widest gap is in instruction following, where Sonar leads 71.5 to 66.3.
- Gemma 3n E4b IT is cheaper at $0.06 / $0.12 per million input/output tokens, against $1 / $1 for Sonar.
- Sonar accepts more context: 128K tokens versus 33K.
- Gemma 3n E4b IT has downloadable open weights; the other is API-only.
Side by side
| Gemma 3n E4b IT | Sonar | |
|---|---|---|
| Provider | Perplexity | |
| Noometry Index | 36.7 | 37.8 |
| Released | 2025-05-20 | 2024-01-01 |
| Weights | Open | Proprietary |
| Context window | 33K | 128K |
| Max output | 33K | 4K |
| Input $ / M tokens | $0.06 | $1 |
| Output $ / M tokens | $0.12 | $1 |
| Results tracked | 18 | 7 |
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Category by category
Coding Gemma 3n E4b IT leads
Gemma 3n E4b IT: 36.4 (#193), Sonar: 35.1 (#217)
| Benchmark | Gemma 3n E4b IT | Sonar |
|---|---|---|
| LiveBench Coding | — | 35.1% |
| LMArena Coding | 1269 | — |
Reasoning Sonar leads
Gemma 3n E4b IT: 19.2 (#239), Sonar: 20.3 (#221)
| Benchmark | Gemma 3n E4b IT | Sonar |
|---|---|---|
| Kagi LLM Benchmark | 31.5% | — |
| LiveBench Reasoning | — | 46.3% |
| LMArena Hard Prompts | 1284 | — |
| LiveBench Data Analysis | — | 37.9% |
| LiveBench | — | 46.9% |
Math Gemma 3n E4b IT leads
Gemma 3n E4b IT: 32.5 (#186), Sonar: 31.3 (#197)
| Benchmark | Gemma 3n E4b IT | Sonar |
|---|---|---|
| LiveBench Math | — | 41.6% |
| LMArena Math | 1251 | — |
Knowledge Not comparable
Gemma 3n E4b IT: 33.6 (#193), Sonar: —
| Benchmark | Gemma 3n E4b IT | Sonar |
|---|---|---|
| LMArena Expert | 1245 | — |
Multilingual Not comparable
Gemma 3n E4b IT: 43.5 (#179), Sonar: —
| Benchmark | Gemma 3n E4b IT | Sonar |
|---|---|---|
| LMArena Non-English | 1285 | — |
| LMArena Chinese | 1310 | — |
| LMArena French | 1330 | — |
| LMArena German | 1312 | — |
| LMArena Japanese | 1274 | — |
| LMArena Korean | 1259 | — |
| LMArena Russian | 1288 | — |
| LMArena Spanish | 1305 | — |
Instruction Following Sonar leads
Gemma 3n E4b IT: 66.3 (#205), Sonar: 71.5 (#146)
| Benchmark | Gemma 3n E4b IT | Sonar |
|---|---|---|
| LiveBench Instruction Following | — | 76.2% |
| LMArena Instruction Following | 1255 | — |
Long Context Not comparable
Gemma 3n E4b IT: 38.8 (#185), Sonar: —
| Benchmark | Gemma 3n E4b IT | Sonar |
|---|---|---|
| LMArena Longer Query | 1277 | — |
Writing & Preference Sonar leads
Gemma 3n E4b IT: 50.3 (#181), Sonar: 52.6 (#166)
| Benchmark | Gemma 3n E4b IT | Sonar |
|---|---|---|
| LMArena Text | 1306 | — |
| LMArena Creative Writing | 1287 | — |
| LMArena Multi-Turn | 1276 | — |
| LiveBench Language | — | 44.1% |
Frequently asked questions
Is Gemma 3n E4b IT better than Sonar?
Sonar is the stronger model overall, scoring 37.8 to 36.7 on the Noometry Index. Gemma 3n E4b IT costs 13× less per token, which makes it the better buy when Sonar's lead doesn't matter for your workload.
Which is cheaper, Gemma 3n E4b IT or Sonar?
Gemma 3n E4b IT is cheaper. It lists at $0.06 per million input tokens and $0.12 per million output tokens; Sonar lists at $1 and $1.
Is Gemma 3n E4b IT or Sonar better for coding?
Gemma 3n E4b IT scores higher on coding benchmarks: 36.4 versus 35.1 in the Noometry coding category.
Which has the bigger context window?
Sonar does, with 128K tokens against 33K.
How many benchmarks do Gemma 3n E4b IT and Sonar share?
0 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and Sonar has 7.