Both models report the same input price at $2 per 1M tokens.
API cost decision in 10 seconds
NewQwen3.8 2.4T A95B vs Qwen3.8 Max
The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.
Both models are estimated at $5 for the standard 1M input plus 500K output workload.
Cost-first pickTie
Context-first pickQwen3.8 2.4T A95B
Sample savings$00%
10x traffic gap$0
Context-window winner: Qwen3.8 2.4T A95B. Cost does not separate this pair on the standard workload, so the next decision point is context window and model behavior.
Cost sensitivity
Workload Sensitivity
The two models stay tied across the input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3.8 2.4T A95B | Qwen3.8 Max |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Tie | $13 | $13 |
| Balanced workload | 1M input + 1M output | Tie | $8 | $8 |
| Output-heavy chatbot | 1M input + 5M output | Tie | $32 | $32 |
Both models report the same output price at $6 per 1M tokens.
Qwen3.8 2.4T A95B has 48.58K more context (1.05x larger).
Both models have the same estimated cost for the standard 1M input plus 500K output workload: $5.
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
both models tie on input price; both models tie on output price; Qwen3.8 2.4T A95B offers the larger context window. For the 1M input plus 500K output sample, the standard workload cost is tied.
For a 1M input token plus 500K output token workload, the estimated API cost is $5 for Qwen3.8 2.4T A95B and $5 for Qwen3.8 Max.
Choose Qwen3.8 2.4T A95B when you care most about larger context window.
Choose Qwen3.8 Max when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- Both models are estimated at $5 for the standard 1M input plus 500K output workload.
- Both models have the same estimated cost for the standard 1M input plus 500K output workload: $5.
- Both models report the same input price at $2 per 1M tokens.
- Both models report the same output price at $6 per 1M tokens.
- Qwen3.8 2.4T A95B has 48.58K more context (1.05x larger).
| Feature | NewQwen3.8 2.4T A95B (Qwen) | Qwen3.8 Max (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $2 | $2 |
| Completion Price per 1M tokens | $6 | $6 |
| Sample Workload Cost 1M input + 500K output | $5 | $5 |
| Context Window | 1.05M | 1M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Tie | Both models are estimated at $5 for the standard 1M input plus 500K output workload. |
| High-volume input processing | Tie | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Tie | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Qwen3.8 2.4T A95B | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3.8 2.4T A95B when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3.8 2.4T A95B when lower sample workload cost matters most: $0.
- Qwen3.7 Flash can replace Qwen3.8 2.4T A95B when lower sample workload cost matters most: $0.1.
- Qwen3 30B A3B Instruct 2507 can replace Qwen3.8 2.4T A95B when lower sample workload cost matters most: $0.14.
- Grok 4.20 Multi-Agent offers 2M context with $2.5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.17 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.11 sample workload cost.
- DeepSeek V4 Flash 0731 · DeepSeek · #1
- MiMo-V2.5 · Xiaomi · #2
- Hy3 · Tencent · #3
- Ox Alpha · stealth · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsQwen catalog
Review all tracked Qwen models before deciding whether this matchup is the right shortlist.
Open Qwen modelsQwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is...
Qwen3.8 Max is the flagship model in Alibaba's Qwen3.8 series, the general-availability successor to the Qwen3.8 Max Preview. It is a multimodal reasoning model intended for complex reasoning, visual understanding,...