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DeepSeek V4 Flash vs Qwen3 235B A22B Instruct 2507

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 Qwen3 235B A22B Instruct 2507.

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...

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Alibaba

Qwen3 235B A22B Instruct 2507

Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following,...

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Technical Specifications

SpecificationDeepSeek V4 FlashQwen3 235B A22B Instruct 2507
ProviderDeepSeekAlibaba
Context Window1,048,576 tokens262,144 tokens
Agent Suitability86/100N/A
Time to First Token (TTFT)120 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-242025-07-21

API Pricing Comparison

Input Price per Million Tokens

DeepSeek V4 Flash

$0.09

Qwen3 235B A22B Instruct 2507

$0.09

Output Price per Million Tokens

DeepSeek V4 Flash

$0.18

Qwen3 235B A22B Instruct 2507

$0.10

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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%vsN/A
DeepSeek V4 Flash
Qwen3 235B A22B Instruct 2507
HumanEvalPython coding & logic synthesis
8410.0%vsN/A
DeepSeek V4 Flash
Qwen3 235B A22B Instruct 2507
MATHComplex mathematical problem solving
5020.0%vsN/A
DeepSeek V4 Flash
Qwen3 235B A22B Instruct 2507
GPQAGraduate-level expert reasoning
3800.0%vsN/A
DeepSeek V4 Flash
Qwen3 235B A22B Instruct 2507
HellaSwagCommonsense reasoning and inference
8350.0%vsN/A
DeepSeek V4 Flash
Qwen3 235B A22B Instruct 2507
MT-BenchMulti-turn conversation flow quality
875.0%vsN/A
DeepSeek V4 Flash
Qwen3 235B A22B Instruct 2507

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

Qwen3 235B A22B Instruct 2507 Quirks & Gotchas

No developer gotchas reported.