@TheAhmadOsman: DeepSeek V4 Flash 0731 beats Qwen 3.8 27B btw
Summary
Ahmad tweets that DeepSeek V4 Flash 0731 outperforms Qwen 3.8 27B, and lists other models like Kimi K3, GLM 5.2, and MiniMax H3.
View Cached Full Text
Cached at: 08/21/26, 09:15 AM
DeepSeek V4 Flash 0731 beats Qwen 3.8 27B btw
Ahmad (@TheAhmadOsman): Kimi K3, GLM 5.2, DeepSeek V4 Flash 0731, and MiniMax H3
Similar Articles
Qwen3.8-Max matches Kimi K3 and DeepSeek V4 Flash
Qwen3.8-Max, a 2.4T parameter open-weight model, matches Kimi K3 and DeepSeek V4 Flash on benchmarks, excelling in coding and software tasks. Weights release next week, with pricing of $2/M input and $6/M output tokens.
Qwen 3.8 27b vs Deepseek Flash
The post compares the open-source AI models Qwen 3.8 (27B) and Deepseek Flash, discussing benchmarks and seeking user experiences to evaluate their performance.
Deepseek V4 Flash is now ~#2 open weight model to Kimi K3 and >50x cheaper
DeepSeek's new V4 Flash model is reportedly the #2 open-weight model behind Kimi K3, offering strong performance at over 50x lower cost ($0.09/$0.18 per 1M tokens) with solid coding and reasoning capabilities.
DeepSeek v4 Flash vs. Qwen3.6-27B, 3.5-122B, and Gemma 4 31B Benchmark
User benchmarks DeepSeek v4 Flash against Qwen3.6-27B, Qwen3.5-122B, and Gemma 4 31B on a local coding benchmark, finding Flash wins overall but Qwen 122B performs surprisingly well with better first-try success and lower token usage.
We Tested DeepSeek V4 Pro and Flash Against Claude Opus 4.7 and Kimi K2.6 (11 minute read)
DeepSeek released V4 Pro and V4 Flash under MIT license on April 24, 2026. In benchmarks against Claude Opus 4.7 and Kimi K2.6, V4 Pro scored 77/100 at $2.25, placing between Opus 4.7 (91) and Kimi K2.6 (68), while V4 Flash scored 60/100 at $0.02, the cheapest in the comparison, with a 75% discount on V4 Pro through May 31.