Qwen Turbo vs GPT-4.1 mini

Performance benchmarks + pricing comparison — updated April 2026

Qwen Turbo

Qwen

Fastest and cheapest Qwen model. Good for high-volume tasks.

Input$0.080/M
Output$0.240/M
Context1M tokens
Best ForHigh-volume tasks, simple coding
Benchmark42/100

GPT-4.1 mini

OpenAI

Cost-optimized GPT-4.1 variant. Strong coding capability at budget pricing, replacing GPT-4o mini for many use cases.

Input$0.400/M
Output$1.60/M
Context128K tokens
Best ForHigh-volume coding, cost-sensitive projects, automation
Benchmark68/100

Benchmark Performance Comparison

Third-party benchmark scores — higher is better. Data sourced from SWE-bench, LiveCodeBench, HumanEval, and BigCodeBench.

BenchmarkQwen TurboGPT-4.1 miniLeader
Overall Score 42 68 GPT-4.1 Mini leads by 26pts
SWE-bench Verified 35 62 GPT-4.1 Mini leads by 27pts
LiveCodeBench 44 70 GPT-4.1 Mini leads by 26pts
HumanEval 65 86 GPT-4.1 Mini leads by 21pts
BigCodeBench 28 54 GPT-4.1 Mini leads by 26pts

Cost Comparison by Scenario

Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.

ScenarioQwen TurboGPT-4.1 miniSavings
Small Script (1K lines) $0.01 $0.06 Qwen Turbo saves $0.05 (84%)
Medium Feature (10K lines) $0.08 $0.46 Qwen Turbo saves $0.38 (83%)
Large Project (50K lines) $0.38 $2.30 Qwen Turbo saves $1.92 (83%)
Code Review (5K lines) $0.02 $0.11 Qwen Turbo saves $0.09 (82%)

Value Analysis (Price per Benchmark Score Point)

Lower is better — how much you pay for each point of benchmark performance.

ModelOverall ScorePrice per Score PointVerdict
Qwen Turbo 42 $0.002/pt Better value
GPT-4.1 mini 68 $0.022/pt Higher cost per point

Qwen Turbo delivers the best value at $0.002 per score point.

Strengths & Weaknesses

Qwen Turbo

  • + Cheapest option
  • + Fast
  • - Basic coding only

GPT-4.1 mini

  • + Good value
  • + Latest architecture
  • - Mini variant limitations

Verdict

Qwen Turbo is cheaper at $0.080/M, but GPT-4.1 mini scores higher on benchmarks (68 vs 42).

Choose Qwen Turbo for cost-sensitive projects, GPT-4.1 mini when performance matters most.

Compare with Other Models