Sonar Deep Research vs Qwen3.8 Omni Flash
Qwen3.8 Omni Flash costs 17.0x less per output token than Sonar Deep Research ($0.47 vs $8.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $8.00
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.47
Sonar Deep Research or Qwen3.8 Omni Flash: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Compare them on price, context and the boards below.
No benchmark has tested either model yet, so price and context are the only way to compare them.
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
Long documents
Listed context window
Qwen3.8 Omni Flash
Qwen3.8 Omni Flash takes 1M tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.8 Omni Flash
Sonar Deep Research $0.0060, Qwen3.8 Omni Flash $0.0004 per turn.
List prices
At a glance
- Coding index
- Sonar Deep Research not benchmarked, Qwen3.8 Omni Flash not benchmarked.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- Sonar Deep Research $8.00 against Qwen3.8 Omni Flash $0.47 per million output tokens, 17.0x apart.
- Context window
- Sonar Deep Research takes 128K tokens, Qwen3.8 Omni Flash 1M.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
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
Qwen3.8 Omni Flash costs less
Repository review
50K input + 3K output tokens
Qwen3.8 Omni Flash costs less
Agent loop
200K input + 10K output tokens
Qwen3.8 Omni Flash 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 Deep Research | Qwen3.8 Omni Flash |
|---|---|---|
| Maker | Perplexity | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | March 7, 2025 | September 21, 2026 |
| Context window | 128K | 1M |
| Input $/Mtok | $2.00 | $0.15 |
| Output $/Mtok | $8.00 | $0.47 |
| 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 Deep Research better than Qwen3.8 Omni Flash for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.
Which is cheaper, Sonar Deep Research or Qwen3.8 Omni Flash?
Sonar Deep Research costs $2.00 per million input tokens and $8.00 per million output tokens; Qwen3.8 Omni Flash costs $0.15 and $0.47. Cost per solved task is known for neither of them.
Which has the bigger context window, Sonar Deep Research or Qwen3.8 Omni Flash?
Qwen3.8 Omni Flash, with 1M tokens against 128K.
Has any benchmark tested both Sonar Deep Research and Qwen3.8 Omni Flash?
No benchmark has tested either model yet, so price and context are the only way to compare them. Data as of October 22, 2026.