Anthropic Claude Opus 5 (200k) vs Alibaba Qwen 3.8 Coder (1M)
Side-by-side comparison of pricing, context window, capabilities, and a real-cost sample workload.
Option A
Anthropic Claude Opus 5 (200k)
by Anthropic
Context:200K
Input:$5.00 / 1M
Output:$25.00 / 1M
Released:2026-07
Option B
Alibaba Qwen 3.8 Coder (1M)
by Alibaba
Context:1M
Input:$0.50 / 1M
Output:$2.00 / 1M
Released:2026-07
Detailed Comparison
| Dimension | Anthropic Claude Opus 5 (200k) | Alibaba Qwen 3.8 Coder (1M) |
|---|---|---|
| Provider | Anthropic | Alibaba |
| Context window Winner | 200K | 1M |
| Input price ($/1M) Winner | $5.00 | $0.50 |
| Output price ($/1M) Winner | $25.00 | $2.00 |
| Sample workload cost Winner 1M input + 500K output tokens | $17.50 | $1.50 |
| Released TieTie | 2026-07 | 2026-07 |
| Tokenizer | claude-4 | qwen |
The verdict
On the dimensions we measured, Alibaba Qwen 3.8 Coder (1M) wins more often - particularly on cost-effectiveness for a typical 1M+0.5M workload.
Anthropic Claude Opus 5 (200k) - Key features
Anthropic's flagship Opus-class model for July 2026. Opus 5 pairs Mythos-class reasoning with the Opus price point, adds adaptive effort control and a hardened long-horizon agent loop that holds context across day-long tasks.
- Adaptive effort control (low to max)
- Best-in-class agentic coding
- Compaction-aware 200K context
- Native tool search and skills
- Interleaved thinking with tool use
Alibaba Qwen 3.8 Coder (1M) - Key features
The coding-specialised Qwen 3.8 with a 1M token window. Tuned for repository-scale understanding, patch generation and terminal agents.
- 1M token context window
- Repository-scale code understanding
- Patch and diff generation
- Agentic terminal workflows
- Open weights
How to choose
- Pick the cheaper model if your workload is mostly straightforward classification, extraction, or summarization.
- Pick the bigger context if you process long documents, large codebases, or multi-document research.
- Pick the more recent release if you need state-of-the-art reasoning quality and don't mind paying a bit more.
- Use both via a routing layer - send simple tasks to the cheaper one and complex tasks to the smarter one. This is the highest-ROI optimization in production AI.
Estimate the real cost of either model for your prompts using our Token Calculator.