R1 vs Qwen3.8 Max (0902)
Price, context window & benchmark comparison
VS
Compare different models
Verdict: R1 is 2.6× cheaper than Qwen3.8 Max (0902) on a typical 3:1 input/output mix. Qwen3.8 Max (0902) scores higher on the Artificial Analysis Intelligence Index (45.4 vs 11.4). Qwen3.8 Max (0902) has the larger context window (1M vs 64K).
| R1 | Qwen3.8 Max (0902) | |
|---|---|---|
| Input price / 1M | $0.70 | $2.00 |
| Output price / 1M | $2.50 | $6.00 |
| Blended price (3:1) | $1.15 | $3.00 |
| Cached input / 1M | — | $0.25 |
| Context window | 64K | 1M |
| Max output | 16K | 131K |
| Intelligence index | 11.4 | 45.4 |
| Coding index | 24.6 | 76.2 |
| Providers | — | 1 |
| Best provider uptime (30m) | — | 100.0% |
| Vision input | No | Yes |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Released | 2025-01-20 | 2026-09-03 |
| Retirement | — | — |
Cost calculator
FAQ
Which is cheaper, R1 or Qwen3.8 Max (0902)?
R1 is 2.6× cheaper than Qwen3.8 Max (0902) on a typical 3:1 input/output mix.
R1 vs Qwen3.8 Max (0902): which has a bigger context window?
R1: 64,000 tokens. Qwen3.8 Max (0902): 1,000,000 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: R1 ≈ $2,650, Qwen3.8 Max (0902) ≈ $7,000.
More comparisons
R1 vs GLM 5.3 PrimeR1 vs Qwen3.8 Max PrimeR1 vs Command A+R1 vs GPT-6 Luna ProR1 vs GPT-6 LunaR1 vs GPT-6 Sol ProR1 vs GPT-6 SolR1 vs Claude Opus 5.5R1 vs MiMo-V2.6-Pro-UltraSpeedR1 vs MiMo-V2.6-FlashR1 vs Grok 4.7R1 vs Qwen3.8 Omni FlashR1 vs GLM 5.3 FlashXR1 vs DeepSeek V4.1 FlashR1 vs GPT-6 AstraR1 vs GPT-6 Astra ProQwen3.8 Max (0902) vs GLM 5.3 PrimeQwen3.8 Max (0902) vs Qwen3.8 Max PrimeQwen3.8 Max (0902) vs Command A+Qwen3.8 Max (0902) vs GPT-6 Luna ProQwen3.8 Max (0902) vs GPT-6 LunaQwen3.8 Max (0902) vs GPT-6 Sol ProQwen3.8 Max (0902) vs GPT-6 SolQwen3.8 Max (0902) vs Claude Opus 5.5