Qwen3 14B vs Qwen3-235B-A22B-Instruct-2507
Qwen3-235B-A22B-Instruct-2507 leads the LLM Stats Score 24.2 to 18.1. Qwen3 14B is 1.4x cheaper per token.
Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3-235B-A22B-Instruct-2507 leads the overall LLM Stats Score 24.2 to 18.1, ranking #166 overall.
In the 9 individual benchmarks reported for both models, Qwen3-235B-A22B-Instruct-2507 wins 8; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3 14B is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3-235B-A22B-Instruct-2507 also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Qwen3 14B
- cost matters — it's about 1.4x cheaper per token
Choose Qwen3-235B-A22B-Instruct-2507
- overall performance matters — it scores 24.2 and ranks #166 on LLM Stats
- you value its reported benchmark strengths — it wins 8 of 9 exact shared results
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Jul 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
17 reported for Qwen3 14B · 25 for Qwen3-235B-A22B-Instruct-2507
Qwen3 14B outperforms in 1 benchmarks (AIME 2025), while Qwen3-235B-A22B-Instruct-2507 is better at 8 benchmarks (BFCL-v3, Creative Writing v3, IFEval, LiveBench 20241125, MMLU-Redux, Multi-IF, WritingBench, ZebraLogic).
Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Qwen3 14B ($0.12/1M tokens) is 1.3x more expensive than Qwen3-235B-A22B-Instruct-2507 ($0.09/1M tokens).
For output processing, Qwen3 14B ($0.24/1M tokens) is 2.3x cheaper than Qwen3-235B-A22B-Instruct-2507 ($0.55/1M tokens).
In conclusion, Qwen3-235B-A22B-Instruct-2507 is more expensive than Qwen3 14B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3-235B-A22B-Instruct-2507 has 221.0B more parameters than Qwen3 14B, making it 1578.6% larger.
Context Window
Maximum input and output token capacity
Qwen3-235B-A22B-Instruct-2507 accepts 262,144 input tokens compared to Qwen3 14B's 40,960 tokens. Qwen3-235B-A22B-Instruct-2507 can generate longer responses up to 262,144 tokens, while Qwen3 14B is limited to 40,960 tokens.
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Qwen3 14B was released on 2025-04-28, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.
Qwen3-235B-A22B-Instruct-2507 is 3 months newer than Qwen3 14B.
Apr 28, 2025
1.4 years ago
Jul 22, 2025
1.2 years ago
2mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Qwen3 14B is available from DeepInfra. Qwen3-235B-A22B-Instruct-2507 is available from DeepInfra, Fireworks, Novita.
Qwen3 14B
Qwen3-235B-A22B-Instruct-2507
Outputs Comparison
Judge for yourself.
Run your own prompts against Qwen3 14B and Qwen3-235B-A22B-Instruct-2507 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Qwen3 14B vs Qwen3-235B-A22B-Instruct-2507.