Rank #18
Qwen: Qwen3.8 2.4T A95B
- LLM
- 1.0M ctx
- 1M
- $4.00
Model · Vendors
Qwen
Ranked models from this vendor or team on Global rankings (same data snapshot as the main global board).
Board snapshot:
About this vendor
Qwen (Alibaba Cloud) spans text, vision, and coding models from efficient 7B tiers to flagship Qwen-Max lines widely mirrored on OpenRouter. AI Hippo tracks the full Qwen catalog with Global Rankings scores, context metrics, and snapshot pricing—Compare Qwen against DeepSeek, Llama, and GPT for multilingual workloads.
Vendor snapshot
Catalog models 54
Ranked on Global board 1
Best rank #18
Price range (avg/1M) $0.08–$8.00/1M
Max context 1.0M ctx
Model types
Origins
Top ranked models
Models on this board · Global rankings
| Rank | Name | Type | Key metric | 1M tokens (avg) |
|---|---|---|---|---|
| 18 | Qwen: Qwen3.8 2.4T A95B | LLM | 1.0M ctx | $4.00 |
Catalog models (not in ranking)
| Rank | Name | Size | Price | Notes |
|---|---|---|---|---|
| — | Qwen: Qwen Plus 0728 | 1.0M ctx | $0.52/1M | qwen/qwen-plus-2025-07-28 |
| — | Qwen: Qwen-Plus | 1.0M ctx | $0.52/1M | qwen/qwen-plus |
| — | Qwen: Qwen2.5 7B Instruct | 33k ctx | $0.15/1M | qwen/qwen-2.5-7b-instruct |
| — | Qwen: Qwen2.5 VL 72B Instruct | 128k ctx | $0.90/1M | qwen/qwen2.5-vl-72b-instruct |
| — | Qwen: Qwen3 14B | 131k ctx | $0.18/1M | qwen/qwen3-14b |
| — | Qwen: Qwen3 235B A22B | 131k ctx | $1.14/1M | qwen/qwen3-235b-a22b |
| — | Qwen: Qwen3 235B A22B Instruct 2507 | 262k ctx | $0.22/1M | qwen/qwen3-235b-a22b-2507 |
| — | Qwen: Qwen3 235B A22B Thinking 2507 | 131k ctx | $1.26/1M | qwen/qwen3-235b-a22b-thinking-2507 |
| — | Qwen: Qwen3 30B A3B | 131k ctx | $0.33/1M | qwen/qwen3-30b-a3b |
| — | Qwen: Qwen3 30B A3B Instruct 2507 | 262k ctx | $0.12/1M | qwen/qwen3-30b-a3b-instruct-2507 |
| — | Qwen: Qwen3 30B A3B Thinking 2507 | 82k ctx | $1.30/1M | qwen/qwen3-30b-a3b-thinking-2507 |
| — | Qwen: Qwen3 32B | 131k ctx | $0.18/1M | qwen/qwen3-32b |
| — | Qwen: Qwen3 8B | 131k ctx | $0.29/1M | qwen/qwen3-8b |
| — | Qwen: Qwen3 Coder 30B A3B Instruct | 262k ctx | $0.18/1M | qwen/qwen3-coder-30b-a3b-instruct |
| — | Qwen: Qwen3 Coder 480B A35B | 262k ctx | $0.65/1M | qwen/qwen3-coder |
| — | Qwen: Qwen3 Coder Flash | 1.0M ctx | $0.58/1M | qwen/qwen3-coder-flash |
| — | Qwen: Qwen3 Coder Next | 262k ctx | $0.46/1M | qwen/qwen3-coder-next |
| — | Qwen: Qwen3 Coder Plus | 1.0M ctx | $1.95/1M | qwen/qwen3-coder-plus |
| — | Qwen: Qwen3 Max | 262k ctx | $2.34/1M | qwen/qwen3-max |
| — | Qwen: Qwen3 Max Thinking | 262k ctx | $2.34/1M | qwen/qwen3-max-thinking |
| — | Qwen: Qwen3 Next 80B A3B Instruct | 262k ctx | $0.60/1M | qwen/qwen3-next-80b-a3b-instruct |
| — | Qwen: Qwen3 Next 80B A3B Thinking | 262k ctx | $0.67/1M | qwen/qwen3-next-80b-a3b-thinking |
| — | Qwen: Qwen3 VL 235B A22B Instruct | 262k ctx | $1.05/1M | qwen/qwen3-vl-235b-a22b-instruct |
| — | Qwen: Qwen3 VL 235B A22B Thinking | 131k ctx | $2.20/1M | qwen/qwen3-vl-235b-a22b-thinking |
| — | Qwen: Qwen3 VL 30B A3B Instruct | 262k ctx | $0.38/1M | qwen/qwen3-vl-30b-a3b-instruct |
| — | Qwen: Qwen3 VL 30B A3B Thinking | 262k ctx | $1.30/1M | qwen/qwen3-vl-30b-a3b-thinking |
| — | Qwen: Qwen3 VL 32B Instruct | 131k ctx | $0.26/1M | qwen/qwen3-vl-32b-instruct |
| — | Qwen: Qwen3 VL 8B Instruct | 262k ctx | $0.29/1M | qwen/qwen3-vl-8b-instruct |
| — | Qwen: Qwen3 VL 8B Thinking | 131k ctx | $1.14/1M | qwen/qwen3-vl-8b-thinking |
| — | Qwen: Qwen3.5 397B A17B | 262k ctx | $2.02/1M | qwen/qwen3.5-397b-a17b |
| — | Qwen: Qwen3.5 Plus 2026-02-15 | 1.0M ctx | $0.91/1M | qwen/qwen3.5-plus-02-15 |
| — | Qwen: Qwen3.5 Plus 2026-04-20 | 1.0M ctx | $1.05/1M | qwen/qwen3.5-plus-20260420 |
| — | Qwen: Qwen3.5-122B-A10B | 262k ctx | $1.17/1M | qwen/qwen3.5-122b-a10b |
| — | Qwen: Qwen3.5-27B | 262k ctx | $0.88/1M | qwen/qwen3.5-27b |
| — | Qwen: Qwen3.5-35B-A3B | 262k ctx | $0.73/1M | qwen/qwen3.5-35b-a3b |
| — | Qwen: Qwen3.5-9B | 262k ctx | $0.13/1M | qwen/qwen3.5-9b |
| — | Qwen: Qwen3.5-Flash | 1.0M ctx | $0.16/1M | qwen/qwen3.5-flash-02-23 |
| — | Qwen: Qwen3.6 27B | 262k ctx | $1.76/1M | qwen/qwen3.6-27b |
| — | Qwen: Qwen3.6 35B A3B | 262k ctx | $0.57/1M | qwen/qwen3.6-35b-a3b |
| — | Qwen: Qwen3.6 Flash | 1.0M ctx | $0.66/1M | qwen/qwen3.6-flash |
| — | Qwen: Qwen3.6 Max Preview | 262k ctx | $3.59/1M | qwen/qwen3.6-max-preview |
| — | Qwen: Qwen3.6 Plus | 1.0M ctx | $1.14/1M | qwen/qwen3.6-plus |
| — | Qwen: Qwen3.7 Flash | 1.0M ctx | $0.08/1M | qwen/qwen3.7-flash |
| — | Qwen: Qwen3.7 Max | 1.0M ctx | $2.95/1M | qwen/qwen3.7-max |
| — | Qwen: Qwen3.7 Plus | 1.0M ctx | $0.80/1M | qwen/qwen3.7-plus |
| — | Qwen: Qwen3.8 2.4T A95B | 1.0M ctx | $4.00/1M | qwen/qwen3.8-2.4t-a95b |
| — | Qwen: Qwen3.8 27B | 1.0M ctx | $2.19/1M | qwen/qwen3.8-27b |
| — | Qwen: Qwen3.8 27B (free) | 262k ctx | $0.00/1M | qwen/qwen3.8-27b:free |
| — | Qwen: Qwen3.8 Flash | 1.0M ctx | $0.31/1M | qwen/qwen3.8-flash |
| — | Qwen: Qwen3.8 Max (0902) | 1.0M ctx | $4.00/1M | qwen/qwen3.8-max-0902 |
| — | Qwen: Qwen3.8 Max Prime | 1.0M ctx | $8.00/1M | qwen/qwen3.8-max-prime |
| — | Qwen: Qwen3.8 Omni Flash | 1.0M ctx | $0.31/1M | qwen/qwen3.8-omni-flash |
| — | Qwen2.5 72B Instruct | 33k ctx | $0.38/1M | qwen/qwen-2.5-72b-instruct |
| — | Qwen2.5 Coder 32B Instruct | 33k ctx | $0.83/1M | qwen/qwen-2.5-coder-32b-instruct |
Data sources & methodology
Counts and prices come from the OpenRouter catalog snapshot merged with AI Hippo Global rankings (same snapshot as /rankings/). Rank reflects the composite score on that board—not LMSYS Chatbot Arena ELO. Snapshot date: 2026-09-30. Methodology
FAQ
What is Qwen's highest-ranked model?
Qwen: Qwen3.8 2.4T A95B currently ranks #18 on AI Hippo's Global rankings board (snapshot 2026-09-30).
What does Qwen charge per 1M tokens?
Across catalog and ranked rows, blended 1M-token prices range from $0.08 to $8.00 in the latest snapshot (2026-09-30). Check individual model pages for prompt vs completion splits.
How many Qwen models are ranked vs catalog-only?
1 of 54 catalog models appear on Global rankings; the remaining 53 are listed under catalog-only on this page.
How is the Global rankings score calculated?
Global rankings uses on-site weighting (context window first, then blended 1M-token price)—not third-party ELO. Full methodology: /en/methodology/