A speed‑optimized and budget‑friendly sibling to Coder Plus. Excellent at code generation and agentic workflows (tool use, environment interaction) with solid general‑purpose ability.
Added Sep 17, 2025
Context Window
128.0K
Max Output
65.5K
Input Price (Auto)
$0.30/1M
Output Price (Auto)
$1.50/1M
Cache Read (Auto)
$0.15/1M
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
13.6
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
51.6%
Better than 27% of models compared
HLE
Humanity's Last Exam
3.8%
Better than 11% of models compared
IFBench
Instruction-following benchmark
32.7%
Better than 20% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
34.5%
Better than 42% of models compared
AA-LCR
Long context reasoning evaluation
31.7%
Better than 38% of models compared
Coding
SciCode
Python programming for scientific computing
27.8%
Better than 35% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
15.2%
Better than 52% of models compared
LiveCodeBench
Contamination-free coding benchmark
40.3%
Better than 48% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
29.0%
Better than 30% of models compared
AIME
American Invitational Mathematics Examination
29.7%
Better than 56% of models compared
Math-500
Diverse mathematical problem solving benchmark
89.3%
Better than 63% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
70.6%
Better than 37% of models compared
Last updated Aug 17, 2026
Artificial AnalysisProviders
Auto routing is available for this model. Explicit provider selection is not available.
Loading provider options…
Related text models
Compare Qwen3 Coder Flash with similar models from the same provider or model family.
Qwen 3 Coder 480B
qwen/qwen3-coderQwen 3 Coder 480B, a 480 billion total parameter model with 35B active, and 160 total experts with 8 active. Performs similar to Claude 4 Sonnet in coding benchmarks, but does so at a much lower price.
Qwen3 Coder Next
qwen/qwen3-coder-nextQwen3 Coder Next is an open-weight coding model built on Qwen3-Next-80B-A3B-Base (hybrid attention + MoE). It is agentically trained at scale on executable tasks and environment interaction, delivering strong coding and tool-use performance at lower inference cost. Native 256K context.
Qwen3 Coder Plus
qwen/qwen3-coder-plusAlibaba’s proprietary upgrade to the open‑weights Qwen3 Coder 480B A35B. A coding‑first agent model with strong tool use and environment control for autonomous programming, while remaining capable at general tasks.
Qwen3.8 2.4T A95B (Max)
qwen/qwen3.8-2.4t-a95bThis is the same underlying model as Qwen3.8 Max, exposed under its architecture-based 2.4T A95B name for easier discovery. It uses the identical routing, pricing, capabilities, and non-thinking mode.
Qwen 3.8 27B Uncensored Thinking
qwen/qwen3.8-27b-uncensored:thinkingQwen 3.8 27B Uncensored with thinking enabled for more deliberate creative work, coding, multimodal analysis, tool use, and long-context problem solving.
Qwen 3.6 35B A3B Uncensored Thinking
qwen/qwen3.6-35b-a3b-uncensored:thinkingQwen 3.6 35B A3B Uncensored with thinking enabled for more deliberate coding, multimodal analysis, tool use, and complex chat tasks.