โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

DeepSeek V4 Flash vs Qwen2.5 Coder 32B Instruct

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for DeepSeek V4 Flash and Qwen2.5 Coder 32B Instruct.

DeepSeek

DeepSeek V4 Flash

DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and...

View Full Specs
Alibaba

Qwen2.5 Coder 32B Instruct

Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in **code generation**, **code reasoning**...

View Full Specs

Technical Specifications

SpecificationDeepSeek V4 FlashQwen2.5 Coder 32B Instruct
ProviderDeepSeekAlibaba
Context Window1,048,576 tokens128,000 tokens
Agent Suitability86/100N/A
Time to First Token (TTFT)120 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-242024-11-11

API Pricing Comparison

Input Price per Million Tokens

DeepSeek V4 Flash

$0.09

Qwen2.5 Coder 32B Instruct

$0.66

Output Price per Million Tokens

DeepSeek V4 Flash

$0.18

Qwen2.5 Coder 32B Instruct

$1.00

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
8240.0%vs8120.0%
DeepSeek V4 Flash
Qwen2.5 Coder 32B Instruct
HumanEvalPython coding & logic synthesis
8410.0%vs9150.0%
DeepSeek V4 Flash
Qwen2.5 Coder 32B Instruct
MATHComplex mathematical problem solving
5020.0%vs6800.0%
DeepSeek V4 Flash
Qwen2.5 Coder 32B Instruct
GPQAGraduate-level expert reasoning
3800.0%vs4050.0%
DeepSeek V4 Flash
Qwen2.5 Coder 32B Instruct
HellaSwagCommonsense reasoning and inference
8350.0%vs8400.0%
DeepSeek V4 Flash
Qwen2.5 Coder 32B Instruct
MT-BenchMulti-turn conversation flow quality
875.0%vs885.0%
DeepSeek V4 Flash
Qwen2.5 Coder 32B Instruct

DeepSeek V4 Flash Quirks & Gotchas

  • โ–ธBest cost-per-token ratio of any hosted API โ€” ideal for high-throughput pipelines
  • โ–ธLower agentic performance vs V4 Pro โ€” route complex tool calls accordingly

Qwen2.5 Coder 32B Instruct Quirks & Gotchas

No developer gotchas reported.