Which model is better: DeepSeek R1 or Qwen 3.8 27B?

Qwen 3.8 27B is 63.6% cheaper for input tokens ($0.20 vs. $0.55 per 1M tokens) and $0.60 vs. $2.19 for output tokens (2.8x cost difference). In terms of operational performance, Qwen 3.8 27B delivers faster response latency with 120ms TTFT (1680ms faster than DeepSeek-R1). Qwen 3.8 27B leads coding benchmarks at 58.4% SWE-bench vs. 49.2% for DeepSeek-R1.
Verified daily via automated API latency tests and official documentation.

Verified Performance & Unit Economics Delta

Daily synchronized metrics from synthetic latency endpoints and benchmark evaluations.

Metric / Dimension DeepSeek R1 Qwen 3.8 27B Net Delta / Advantage
Input Cost / 1M Tokens $0.55 $0.20 Qwen 3.8 27B is 2.8x cheaper
Output Cost / 1M Tokens $2.19 $0.60 Qwen 3.8 27B (72.6% lower)
Prompt Cache Read / 1M $0.140 $0.050 Qwen 3.8 27B is 2.8x cheaper
Prompt Cache Write / 1M $0.55 $0.20 Qwen 3.8 27B is 2.8x cheaper
Avg TTFT Response Latency 1800ms 120ms Qwen 3.8 27B (+1680ms faster)
SWE-bench Verified (Coding) 49.2% 58.4% Qwen 3.8 27B (+9.2% lead)
Inference Value Score (IVR) 64.5 / 100 75.7 / 100 Qwen 3.8 27B (+11.2 pts)

Interactive Monthly Token Economics & ROI Forecaster

Model your expected production workload across prompt (input) and completion (output) tokens with prompt caching economics.

Live Calculation Engine
10.0M Tokens
100K 50M 250M 500M+
2.5M Tokens
100K 10M 50M 100M+

Estimated Monthly Spend

DeepSeek R1 $10.98

$0.55/1M in · $2.19/1M out

Prompt Cache: $0.140/1M read · $0.55/1M write

Qwen 3.8 27B $3.50

$0.20/1M in · $0.60/1M out

Prompt Cache: $0.050/1M read · $0.20/1M write

Projected Monthly Cost Reduction
$7.48 / mo
(68.1% lower cost with Qwen 3.8 27B)
A

When to Choose DeepSeek R1

Choose DeepSeek-R1 when you need Open-weights frontier reasoning and deep analytical problem solving at unmatched cost-per-token efficiency. and have an infrastructure budget aligned with $0.55/1M tokens.

B

When to Choose Qwen 3.8 27B

Choose Qwen 3.8 27B when you need High-performance 27B open weights optimized for local deployment, code generation, and low-latency production pipelines. and prioritize Alibaba Cloud ecosystem integration at $0.20/1M tokens.

Related Questions & Decision Factors

Which is cheaper: DeepSeek R1 or Qwen 3.8 27B?

Qwen 3.8 27B is cheaper at $0.20/1M input tokens compared to $0.55/1M for DeepSeek R1.

Which model has lower latency: DeepSeek R1 or Qwen 3.8 27B?

Qwen 3.8 27B delivers faster response times with an average TTFT of 120ms vs 1800ms for DeepSeek R1.

When should you choose DeepSeek R1?

Choose DeepSeek-R1 when you need Open-weights frontier reasoning and deep analytical problem solving at unmatched cost-per-token efficiency. and have an infrastructure budget aligned with $0.55/1M tokens.

When should you choose Qwen 3.8 27B?

Choose Qwen 3.8 27B when you need High-performance 27B open weights optimized for local deployment, code generation, and low-latency production pipelines. and prioritize Alibaba Cloud ecosystem integration at $0.20/1M tokens.

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