Sonar Pro vs Qwen2.5 7B Instruct
Updated October 21, 2026. 0 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
- Coding
- No data
- Overall
- 7.6
- Output $/M
- $15.00
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.20
Decision reading
Neither model has a coding score yet, so the two cannot be ranked on coding.
Sonar Pro has the edge where the context window is larger, 200K against 33K tokens.
- Shared results
- 0
- Sonar Pro only
- 5
- Qwen2.5 7B Instruct only
- 7
- Like-for-like categories
- 0 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Sonar Pro has a AA Intelligence Index result, 7.6.
Directional only
Long documents
Listed context window
Sonar Pro
Sonar Pro takes 200K tokens against 33K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen2.5 7B Instruct
Sonar Pro $0.011, Qwen2.5 7B Instruct $0.0002 per turn.
List prices
At a glance
- Coding index
- Sonar Pro not benchmarked, Qwen2.5 7B Instruct not benchmarked.
- Widest category
- No category has a result for both models.
- Widest single gap
- No benchmark has a result for both models.
- Output price
- Sonar Pro $15.00 against Qwen2.5 7B Instruct $0.20 per million output tokens, 75.0x apart.
- Context window
- Sonar Pro takes 200K tokens, Qwen2.5 7B Instruct 33K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
CodingDirectional onlySix of these boards feed the Vibe Coding Index1 board, none shared
| Benchmark | Sonar Pro | Qwen2.5 7B Instruct | Leader |
|---|---|---|---|
| LiveCodeBench (Artificial Analysis run) | 27.5% | Not measured | Only Sonar Pro measured |
| Neither model has a result on the other 37 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Sonar Pro | Qwen2.5 7B Instruct | Leader |
|---|---|---|---|
| AA Intelligence Index | 7.6 | Not measured | Only Sonar Pro measured |
| Epoch Capabilities Index | Not measured | 118.5 | Only Qwen2.5 7B Instruct measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Sonar Pro | Qwen2.5 7B Instruct | Leader |
|---|---|---|---|
| BALROG | Not measured | 7.8% | Only Qwen2.5 7B Instruct measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Sonar Pro | Qwen2.5 7B Instruct | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 57.8% | Not measured | Only Sonar Pro measured |
| Humanity's Last Exam (Artificial Analysis run) | 6.6% | Not measured | Only Sonar Pro measured |
| GPQA Diamond (Epoch AI run) | Not measured | 35.5% | Only Qwen2.5 7B Instruct measured |
| Neither model has a result on the other 18 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Sonar Pro | Qwen2.5 7B Instruct | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 2.5% | Only Qwen2.5 7B Instruct measured |
| Neither model has a result on the other 12 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Sonar Pro | Qwen2.5 7B Instruct | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 75.5% | Not measured | Only Sonar Pro measured |
| MMLU | Not measured | 72.9% | Only Qwen2.5 7B Instruct measured |
| Neither model has a result on the other 15 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Sonar Pro | Qwen2.5 7B Instruct | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Sonar Pro | Qwen2.5 7B Instruct | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Qwen2.5 7B Instruct costs less
Repository review
50K input + 3K output tokens
Qwen2.5 7B Instruct costs less
Agent loop
200K input + 10K output tokens
Qwen2.5 7B Instruct costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Perplexity Sonar Pro | Qwen2.5 7B Instruct |
|---|---|---|
| Maker | Perplexity | Qwen |
| Weights | No public weights listed | Open weights |
| Released | March 7, 2025 | October 16, 2024 |
| Context window | 200K | 33K |
| Input $/Mtok | $3.00 | $0.10 |
| Output $/Mtok | $15.00 | $0.20 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Sonar Pro better than Qwen2.5 7B Instruct for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Sonar Pro has the edge where the context window is larger, 200K against 33K tokens.
Which is cheaper, Sonar Pro or Qwen2.5 7B Instruct?
Sonar Pro costs $3.00 per million input tokens and $15.00 per million output tokens; Qwen2.5 7B Instruct costs $0.10 and $0.20. Cost per solved task is known for neither of them.
Which has the bigger context window, Sonar Pro or Qwen2.5 7B Instruct?
Sonar Pro, with 200K tokens against 33K.
How many benchmarks is the Sonar Pro vs Qwen2.5 7B Instruct comparison based on?
0 benchmarks have a result for both models as of October 21, 2026. Sonar Pro's coding index rests on 0 independent benchmarks and Qwen2.5 7B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.