Model comparison
Qwen 3.8 27B vs Qwen 3.8 Flash Next
Two Qwen tiers compared on the figures that decide which one a workload actually needs.
Catalog record checked September 26, 2026Individual provider fields may changeEvidence confidence: High — see receipts below
Qwen
Qwen 3.8 27B
Budget · Open weights
Qwen
Qwen 3.8 Flash Next
Budget · Open weights
| Specification | Qwen 3.8 27B | Qwen 3.8 Flash Next |
|---|---|---|
| Provider | ||
| Provider | Qwen | Qwen |
| Tier | ||
| Tier | Budget | Budget |
| Context window | ||
| Context window | 262K | 262K |
| Max output | ||
| Max output | Not verifiedUnverified | Not verifiedUnverified |
| Input / 1M tokens | ||
| Input / 1M tokens | $0.50 | Winner: $0.15 |
| Output / 1M tokens | ||
| Output / 1M tokens | $3 | Winner: $0.47 |
| Weights | ||
| Weights | Open | Open |
| Parameters | ||
| Parameters | 27B dense VLM (Gated DeltaNet hybrid) | 125B total / 6B active (MoE) + 51B n-gram embedding table |
| Reasoning levels | ||
| Reasoning levels | low, medium, xhigh | Not verifiedUnverified |
| Modalities | ||
| Modalities | text, image, video | text, image, video |
| License | ||
| License | Apache 2.0 | qwen-community-1.0 |
| API model id | ||
| API model id | qwen3.8-27b | qwen3.8-flash |
| Released | ||
| Released | August 13, 2026 | August 26, 2026 |
| Artificial Analysis Intelligence Index [xhigh] (2026-09-26) | ||
| Artificial Analysis Intelligence Index [xhigh] (2026-09-26) | 33.7 | Not verifiedUnverified |
| Artificial Analysis Intelligence Index (2026-09-26) | ||
| Artificial Analysis Intelligence Index (2026-09-26) | Not verifiedUnverified | 39.8 |
Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.
Benchmark receipts
Where each score comes from, and how far it can be compared across models.
- 2026-09-26Artificial Analysis
Composite index blending reasoning, knowledge, and coding evals into one 0–100 score.
Comparable with caveatOnly same-version scores are comparable. v4.3.2 was rebaselined (the top score fell from 66 on v4.1.1 to ~58), so v4.1.1 figures must not be compared with v4.3.2 figures — check measuredAt.
Pricing tiers
Qwen 3.8 27B: Hosted qwen3.8-27b lists $0.50/$3.00 per MTok on Alibaba Cloud Model Studio (API launched 2026-08-19). Open weights (Apache 2.0) for self-hosting.
Qwen 3.8 Flash Next: Hosted qwen3.8-flash lists $0.15/$0.47 per MTok on Alibaba Cloud Model Studio with a 1M context. The open checkpoint is 262,144 tokens native, extensible to 1M.
Qwen 3.8 27B
Qwen 3.8 27B is Alibaba's compact deployment-friendly dense VLM — 262K native context (1M via YaRN), Apache 2.0 weights, distinct from the hosted Qwen 3.8 Max API.
Best for
- Self-hosting on a single node
- Multimodal input at small scale
- Long-context on modest hardware
Watch out
Dense 27B means higher memory per token than an MoE of equal active size; video input is multimodal-input only.
Qwen 3.8 Flash Next
Qwen 3.8 Flash Next is Alibaba's experimental preview of the Qwen 4 architecture — very low active parameters plus an unusual n-gram embedding component for cheap long-context.
Best for
- Early testing of Qwen 4 architecture
- Cheap high-throughput work
- Multimodal input
Watch out
Experimental preview; qwen-community-1.0 license is more restrictive than MIT/Apache; benchmark claims are vendor-reported.
When the cheaper one wins
Qwen 3.8 Flash Next is cheaper on output at $0.47 per million tokens against $3 for Qwen 3.8 27B — about 6.4×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. These are standard-tier API rates, excluding batch and cache discounts.
Run the model pickerEvidence confidence: High
How strong and complete the evidence behind this comparison is — not a prediction of which model is better.
- Pricing verified on both sides — Input and output rates are verified for both models.
- 3/5 core specs verified on both sides — Not published for at least one side: max output, reasoning levels.
- 1 shared named benchmark with differing scores — Measured on: Artificial Analysis Intelligence Index.
- Verified within the last 90 days — Newest catalog check was 2 days ago.
- Both models carry source citations — Each side has at least two catalog sources on record.
Source receipts
Each catalog figure was checked against the provider or an independent second source on the date shown.
- Qwen 3.8 27B: HuggingFace — Qwen3.8-27B model card (accessed 2026-08-29)
- Qwen 3.8 27B: LiveBench Leaderboard (Qwen 3.8 27B row) (accessed 2026-08-29)
- Qwen 3.8 27B: Alibaba Cloud Model Studio pricing (qwen3.8-27b $0.50/$3.00) (accessed 2026-09-26)
- Qwen 3.8 Flash Next: The New Stack — Qwen3.8-Flash previews Qwen4 (accessed 2026-08-29)
- Qwen 3.8 Flash Next: Yotta Labs — Qwen 3.8-Flash-Next specs (accessed 2026-08-29)
- Qwen 3.8 Flash Next: Hugging Face — Qwen/Qwen3.8-Flash-Next (accessed 2026-09-26)
- Qwen 3.8 Flash Next: Alibaba Cloud Model Studio pricing (qwen3.8-flash $0.15/$0.47) (accessed 2026-09-26)
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- Gemini 3.1 Flash-Lite vs Qwen 3.8 Flash Next
Diving deeper on one model? Qwen 3.8 27B · Qwen 3.8 Flash Next
Common questions
Qwen 3.8 27B vs Qwen 3.8 Flash Next
Answered from the verified figures on this page rather than general guidance.
Is Qwen 3.8 27B or Qwen 3.8 Flash Next cheaper for input?
Is Qwen 3.8 27B or Qwen 3.8 Flash Next cheaper for output?
Which has the larger context window, Qwen 3.8 27B or Qwen 3.8 Flash Next?
Should I use Qwen 3.8 27B or Qwen 3.8 Flash Next?
Next step
Choosing between them
The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.
- Input price: Qwen 3.8 Flash Next costs $0.15 per 1M tokens versus $0.50 for Qwen 3.8 27B — a 3.3x difference at the headline tier.
- Measured capability: Qwen 3.8 Flash Next leads Artificial Analysis Intelligence Index 39.8 to 33.7 (measured 2026-09-26).
Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.