Qwen3.8 2.4T A95B is $0.5 cheaper per 1M input tokens (20% lower; 1.25x difference).
API cost decision in 10 seconds
NewQwen3.8 2.4T A95B vs Claude Opus 5 (batch)
Pick Qwen3.8 2.4T A95B when budget and context both matter.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Qwen3.8 2.4T A95B when budget and context both matter.
On the standard 1M input plus 500K output workload, Qwen3.8 2.4T A95B is estimated at $5 vs $8.75 for Claude Opus 5 (batch), saving $3.75 (42.9% lower).
Cost-first pickQwen3.8 2.4T A95B
Context-first pickQwen3.8 2.4T A95B
Sample savings$3.7542.9%
10x traffic gap$37.5
Qwen3.8 2.4T A95B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $37.5. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen3.8 2.4T A95B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3.8 2.4T A95B | Claude Opus 5 (batch) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3.8 2.4T A95B | $13 | $18.75 |
| Balanced workload | 1M input + 1M output | Qwen3.8 2.4T A95B | $8 | $15 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3.8 2.4T A95B | $32 | $65 |
Qwen3.8 2.4T A95B is $6.5 cheaper per 1M output tokens (52% lower; 2.08x difference).
Qwen3.8 2.4T A95B has 48.58K more context (1.05x larger).
Qwen3.8 2.4T A95B is $3.75 cheaper on the standard workload (42.9% lower).
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
Qwen3.8 2.4T A95B has the lower input price; Qwen3.8 2.4T A95B has the lower output price; Qwen3.8 2.4T A95B offers the larger context window. For the 1M input plus 500K output sample, Qwen3.8 2.4T A95B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $5 for Qwen3.8 2.4T A95B and $8.75 for Claude Opus 5 (batch).
Choose Qwen3.8 2.4T A95B when you care most about lower input-token price, lower output-token price, and larger context window.
Choose Claude Opus 5 (batch) when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- On the standard 1M input plus 500K output workload, Qwen3.8 2.4T A95B is estimated at $5 vs $8.75 for Claude Opus 5 (batch), saving $3.75 (42.9% lower).
- Qwen3.8 2.4T A95B is $3.75 cheaper on the standard workload (42.9% lower).
- Qwen3.8 2.4T A95B is $0.5 cheaper per 1M input tokens (20% lower; 1.25x difference).
- Qwen3.8 2.4T A95B is $6.5 cheaper per 1M output tokens (52% lower; 2.08x difference).
- Qwen3.8 2.4T A95B has 48.58K more context (1.05x larger).
| Feature | NewQwen3.8 2.4T A95B (Qwen) | Claude Opus 5 (batch) (Anthropic) |
|---|---|---|
| Input Price prompt tokens per 1M | $2 | $2.5 |
| Completion Price per 1M tokens | $6 | $12.5 |
| Sample Workload Cost 1M input + 500K output | $5 | $8.75 |
| Context Window | 1.05M | 1M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3.8 2.4T A95B | On the standard 1M input plus 500K output workload, Qwen3.8 2.4T A95B is estimated at $5 vs $8.75 for Claude Opus 5 (batch), saving $3.75 (42.9% lower). |
| High-volume input processing | Qwen3.8 2.4T A95B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen3.8 2.4T A95B | 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
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Open Anthropic 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...
Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis...