Migrating from qwen3-8b to qwen3.6-flash
What changes when you move from qwen3-8b to qwen3.6-flash: input price +38.9%, output price +114.3%.
- From
- qwen3-8b
- Status
- Retired
- Shutdown
- Oct 10, 2026
- Time left
- —
- Status
- Active
- Shutdown
- none announced
- Time left
- —
Prices
USD per 1M tokens, standard tier| Type | qwen3-8b | qwen3.6-flash | Change |
|---|---|---|---|
| Input | $0.18first seen October 5, 2026 · source | $0.25first seen October 5, 2026 · source | +38.9% |
| Output | $0.70first seen October 5, 2026 · source | $1.50first seen October 5, 2026 · source | +114.3% |
At 1M input and 250K output tokens a month: $0.355 on qwen3-8b, $0.625 on qwen3.6-flash (+76.1%).
Other tiers, prompt-size bands and modalities are on each model's page.
Limits
Tokens| Limit | qwen3-8b | qwen3.6-flash | Change |
|---|---|---|---|
| Context window | Not published | 1,000,000 tokensin place when tracking began (October 6, 2026) · source | — |
| Max output tokens | Not published | 65,536 tokensin place when tracking began (October 6, 2026) · source | — |
Benchmarks
Same benchmark, source and setting on both sides| Benchmark | qwen3-8b | qwen3.6-flash | Change |
|---|---|---|---|
| GPQA DiamondEpoch AI. | 56.8% | 83.3% | +26.5 pts |
| OTIS Mock AIME 2024-2025Epoch AI. | 56.1% | 84.4% | +28.3 pts |
A score from one source is never compared with another source's, and company-reported scores are compared only within the same company; settings named where they differ. Data: Epoch AI, Capabilities & benchmarking (epoch.ai/benchmarks), CC BY.
Features and parameters
Compare modelsNo feature is published for both models, so none can be compared.
Not published for qwen3-8b: Structured outputs, Function calling, Prompt caching, Batch API, Image input, PDF input, Reasoning / thinking, Fine-tuning, Built-in web search, temperature parameter, top_p parameter, logprobs, Context window, Max output tokens.
Not published for qwen3.6-flash: PDF input, Reasoning / thinking, temperature parameter, top_p parameter, logprobs.
Aliases
All aliasesNo aliases point at either model.
Checklist
- Change the model string from
qwen3-8btoqwen3.6-flash. - Re-check costs: qwen3.6-flash costs more than qwen3-8b (input +38.9%, output +114.3%).
Compared from AIWire's published data when this page loaded. Each fact links to the page it came from. Model pages: qwen3-8b, qwen3.6-flash.