Model comparison
Qwen2.5 7B Instruct vs Sonar
Sonar is the stronger model overall, scoring 37.8 to 28.6 on the Noometry Index. Qwen2.5 7B Instruct costs 3.3× 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 Sonar leads 31.3 to 11.8.
- Qwen2.5 7B Instruct is cheaper at $0.17 / $0.70 per million input/output tokens, against $1 / $1 for Sonar.
- Qwen2.5 7B Instruct accepts more context: 131K tokens versus 128K.
- Qwen2.5 7B Instruct has downloadable open weights; the other is API-only.
Side by side
| Qwen2.5 7B Instruct | Sonar | |
|---|---|---|
| Provider | Alibaba (Qwen) | Perplexity |
| Noometry Index | 28.6 | 37.8 |
| Released | 2024-09 | 2024-01-01 |
| Weights | Open | Proprietary |
| Context window | 131K | 128K |
| Max output | 8K | 4K |
| Input $ / M tokens | $0.17 | $1 |
| Output $ / M tokens | $0.70 | $1 |
| Results tracked | 15 | 7 |
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Category by category
Coding Too close to call
Qwen2.5 7B Instruct: 35.9 (#204), Sonar: 35.1 (#217)
| Benchmark | Qwen2.5 7B Instruct | Sonar |
|---|---|---|
| BigCodeBench Instruct | 37.6% | — |
| LiveBench Coding | — | 35.1% |
| BigCodeBench Complete | 46.1% | — |
Agentic & Tool Use Not comparable
Qwen2.5 7B Instruct: 23.5 (#117), Sonar: —
| Benchmark | Qwen2.5 7B Instruct | Sonar |
|---|---|---|
| BALROG | 7.8% | — |
Reasoning Sonar leads
Qwen2.5 7B Instruct: 14.3 (#317), Sonar: 20.3 (#221)
| Benchmark | Qwen2.5 7B Instruct | Sonar |
|---|---|---|
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | — | 46.3% |
| DTBench | 47.7% | — |
| LiveBench Data Analysis | — | 37.9% |
| LMCA | 6.4% | — |
| Epoch Capabilities Index | 118.44 | — |
| LiveBench | — | 46.9% |
Math Sonar leads
Qwen2.5 7B Instruct: 11.8 (#300), Sonar: 31.3 (#197)
| Benchmark | Qwen2.5 7B Instruct | Sonar |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.5% | — |
| Omni-MATH | 29.4% | — |
| LiveBench Math | — | 41.6% |
Knowledge Not comparable
Qwen2.5 7B Instruct: 17.0 (#281), Sonar: —
| Benchmark | Qwen2.5 7B Instruct | Sonar |
|---|---|---|
| GPQA Diamond | 35.5% | — |
| MMLU-Pro | 53.9% | — |
| GPQA (HELM) | 34.1% | — |
| MMLU | 72.9% | — |
Instruction Following Sonar leads
Qwen2.5 7B Instruct: 63.4 (#226), Sonar: 71.5 (#146)
| Benchmark | Qwen2.5 7B Instruct | Sonar |
|---|---|---|
| LiveBench Instruction Following | — | 76.2% |
| IFEval | 74.1% | — |
Writing & Preference Sonar leads
Qwen2.5 7B Instruct: 48.8 (#194), Sonar: 52.6 (#166)
| Benchmark | Qwen2.5 7B Instruct | Sonar |
|---|---|---|
| WildBench | 73.1% | — |
| LiveBench Language | — | 44.1% |
Frequently asked questions
Is Qwen2.5 7B Instruct better than Sonar?
Sonar is the stronger model overall, scoring 37.8 to 28.6 on the Noometry Index. Qwen2.5 7B Instruct costs 3.3× less per token, which makes it the better buy when Sonar's lead doesn't matter for your workload.
Which is cheaper, Qwen2.5 7B Instruct or Sonar?
Qwen2.5 7B Instruct is cheaper. It lists at $0.17 per million input tokens and $0.70 per million output tokens; Sonar lists at $1 and $1.
Is Qwen2.5 7B Instruct or Sonar better for coding?
They score almost the same on coding (35.9 vs 35.1); test both on your own repository before choosing.
Which has the bigger context window?
Qwen2.5 7B Instruct does, with 131K tokens against 128K.
How many benchmarks do Qwen2.5 7B Instruct and Sonar share?
0 benchmarks have published results for both models. Qwen2.5 7B Instruct has 15 scored results on Noometry and Sonar has 7.