Qwen3.8 Omni Flash vs Cydonia 24B V4.1
Qwen3.8 Omni Flash and Cydonia 24B V4.1 cost about the same per output token ($0.47 vs $0.50 per million). Updated October 23, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.47
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.50
Qwen3.8 Omni Flash or Cydonia 24B V4.1: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Qwen3.8 Omni Flash for output tokens 1.1x cheaper ($0.47 vs $0.50 per million) and a larger context window (1M against 131K tokens).
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 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.8 Omni Flash
Qwen3.8 Omni Flash $0.0004, Cydonia 24B V4.1 $0.0006 per turn.
List prices
At a glance
- Coding index
- Qwen3.8 Omni Flash not benchmarked, Cydonia 24B V4.1 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
- Qwen3.8 Omni Flash $0.47 against Cydonia 24B V4.1 $0.50 per million output tokens, 1.1x apart.
- Context window
- Qwen3.8 Omni Flash takes 1M tokens, Cydonia 24B V4.1 131K.
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 | Qwen3.8 Omni Flash | TheDrummer Cydonia 24B V4.1 |
|---|---|---|
| Maker | Qwen | TheDrummer |
| Weights | No public weights listed | Open weights |
| Released | September 21, 2026 | September 27, 2025 |
| Context window | 1M | 131K |
| Input $/Mtok | $0.15 | $0.30 |
| Output $/Mtok | $0.47 | $0.50 |
| 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 Qwen3.8 Omni Flash better than Cydonia 24B V4.1 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen3.8 Omni Flash for output tokens 1.1x cheaper ($0.47 vs $0.50 per million) and a larger context window (1M against 131K tokens).
Which is cheaper, Qwen3.8 Omni Flash or Cydonia 24B V4.1?
Qwen3.8 Omni Flash costs $0.15 per million input tokens and $0.47 per million output tokens; Cydonia 24B V4.1 costs $0.30 and $0.50. Cost per solved task is known for neither of them.
Which has the bigger context window, Qwen3.8 Omni Flash or Cydonia 24B V4.1?
Qwen3.8 Omni Flash, with 1M tokens against 131K.
Has any benchmark tested both Qwen3.8 Omni Flash and Cydonia 24B V4.1?
No benchmark has tested either model yet, so price and context are the only way to compare them. Data as of October 23, 2026.