DeepSeek R1.7b Qwen vs DeepSeek R1.8b
DeepSeek R1.7b Qwen vs DeepSeek R1.8b: DeepSeek R1.7b Qwen is cheaper by 25% on average. DeepSeek R1.7b Qwen from LlamaGate (131,072-token context, reasoning, tool calls) vs. DeepSeek R1.8b from LlamaGate (65,536-token context, reasoning, tool calls). Use Agent Command Center to A/B both in shadow mode and pick the winner per workload.
Side-by-side cost
Live workload comparison
Same workload run through both models. The cheaper one is highlighted.
3,000
0131,072
400
016,384
5,000
01,000,000
At this workload, DeepSeek R1.7b Qwen is 21% cheaper than DeepSeek R1.8b — a savings of $12.17/month ($146/year).
Production recipe — Agent Command Center
strategy: cost-optimized
primary:
model: deepseek-r1-7b-qwen
provider: llamagate
fallback:
model: deepseek-r1-8b
provider: llamagate
shadow: { sample_rate: 0.05 } # mirror 5% of traffic to compare quality live| DeepSeek R1.7b Qwen | DeepSeek R1.8b | |
|---|---|---|
| Input price | $0.0800/M | $0.1000/M |
| Output price | $0.150/M | $0.200/M |
| Context window | 131,072 | 65,536 |
| Max output | 16,384 | 16,384 |
| Function calling | ✓ | ✓ |
| Vision | — | — |
| Audio input | — | — |
| Reasoning | ✓ | ✓ |
| Prompt caching | — | — |
| Structured output | ✓ | ✓ |
| Pricing verified | May 12, 2026 | May 12, 2026 |