Model comparison
Qwen3 14B vs Sonar
Sonar is the stronger model overall, scoring 38.5 to 35.5 on the Noometry Index. Qwen3 14B costs 1.6× less per token, which makes it the better buy when Sonar's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)
PerplexitySummary
- The widest gap is in math, where Qwen3 14B leads 38.6 to 33.7.
- Qwen3 14B is cheaper at $0.35 / $1.40 per million input/output tokens, against $1 / $1 for Sonar.
- Qwen3 14B accepts more context: 131K tokens versus 128K.
- Qwen3 14B has downloadable open weights; the other is API-only.
Side by side
| Qwen3 14B | Sonar | |
|---|---|---|
| Provider | Alibaba (Qwen) | Perplexity |
| Noometry Index | 35.5 | 38.5 |
| Released | 2025-04 | 2024-01-01 |
| Weights | Open | Proprietary |
| Context window | 131K | 128K |
| Max output | 8K | 4K |
| Input $ / M tokens | $0.35 | $1 |
| Output $ / M tokens | $1.40 | $1 |
| Results tracked | 12 | 7 |
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Category by category
Coding Qwen3 14B leads
Qwen3 14B: 37.3 (#195), Sonar: 35.7 (#221)
| Benchmark | Qwen3 14B | Sonar |
|---|---|---|
| SciCode | 31.6% | — |
| LiveBench Coding | — | 35.1% |
Agentic & Tool Use Not comparable
Qwen3 14B: 29.6 (#83), Sonar: —
| Benchmark | Qwen3 14B | Sonar |
|---|---|---|
| Berkeley Function Calling Leaderboard | 41% | — |
Reasoning Sonar leads
Qwen3 14B: 18.5 (#280), Sonar: 21.1 (#227)
| Benchmark | Qwen3 14B | Sonar |
|---|---|---|
| Kagi LLM Benchmark | 49.1% | — |
| CritPt | 0% | — |
| Chess Puzzles | 4% | — |
| LiveBench Reasoning | — | 46.3% |
| DTBench | 64% | — |
| LiveBench Data Analysis | — | 37.9% |
| LMCA | 18.2% | — |
| Epoch Capabilities Index | 138.23 | — |
| LiveBench | — | 46.9% |
Math Qwen3 14B leads
Qwen3 14B: 38.6 (#133), Sonar: 33.7 (#200)
| Benchmark | Qwen3 14B | Sonar |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 66.4% | — |
| LiveBench Math | — | 41.6% |
Knowledge Not comparable
Qwen3 14B: 39.3 (#134), Sonar: —
| Benchmark | Qwen3 14B | Sonar |
|---|---|---|
| GPQA Diamond | 63.8% | — |
| Vectara Hallucination Rate | 5.4% | — |
Instruction Following Not comparable
Qwen3 14B: —, Sonar: 71.4 (#150)
| Benchmark | Qwen3 14B | Sonar |
|---|---|---|
| LiveBench Instruction Following | — | 76.2% |
Long Context Not comparable
Qwen3 14B: 38.1 (#204), Sonar: —
| Benchmark | Qwen3 14B | Sonar |
|---|---|---|
| Fiction.LiveBench | 62.5% | — |
Writing & Preference Not comparable
Qwen3 14B: —, Sonar: 52.6 (#167)
| Benchmark | Qwen3 14B | Sonar |
|---|---|---|
| LiveBench Language | — | 44.1% |
Frequently asked questions
Is Qwen3 14B better than Sonar?
Sonar is the stronger model overall, scoring 38.5 to 35.5 on the Noometry Index. Qwen3 14B costs 1.6× less per token, which makes it the better buy when Sonar's lead doesn't matter for your workload.
Which is cheaper, Qwen3 14B or Sonar?
Qwen3 14B is cheaper. It lists at $0.35 per million input tokens and $1.40 per million output tokens; Sonar lists at $1 and $1.
Is Qwen3 14B or Sonar better for coding?
Qwen3 14B scores higher on coding benchmarks: 37.3 versus 35.7 in the Noometry coding category.
Which has the bigger context window?
Qwen3 14B does, with 131K tokens against 128K.
How many benchmarks do Qwen3 14B and Sonar share?
0 benchmarks have published results for both models. Qwen3 14B has 12 scored results on Noometry and Sonar has 7.