Model Comparison

Qwen3 8B vs Qwen3 14B

Compare the listed model data for Qwen3 8B by Qwen and Qwen3 14B by Qwen. Benchmark and pricing records are not a controlled test and may change.

Data last updated: 2026-10-16. Verify current model details with each provider.

What the listed data says

Qwen3 8B: 128K tokens; Qwen3 14B: 128K tokens. The listed context-window values are equal. Qwen3 8B is listed for coding, reasoning, long-context tasks; Qwen3 14B is listed for no specific capability flags. Shared catalog benchmark entries: MMLU: Qwen3 8B 87.5%; Qwen3 14B 90.1%; HumanEval: Qwen3 8B 85.6%; Qwen3 14B 90.2%; MATH: Qwen3 8B 88.0%; Qwen3 14B 93.8%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.

Computed differences from catalog data

  • The listed context windows are 128K tokens and 128K tokens; the larger is 1× the smaller.
  • On shared numeric benchmark entries, MMLU: Qwen3 8B − Qwen3 14B = -2.6 percentage points (87.5% vs 90.1%); HumanEval: Qwen3 8B − Qwen3 14B = -4.6 percentage points (85.6% vs 90.2%); MATH: Qwen3 8B − Qwen3 14B = -5.8 percentage points (88.0% vs 93.8%).
  • The first listed parameter quantities are 8B and 14B; the larger quantity is 1.75× the smaller. Total and active MoE parameters are not directly equivalent.
  • The catalog release dates are April 2025 and April 2025, about 0 months apart at the precision supplied.

Cost example: 1M input and 1M output tokens

A cost example for 1M input plus 1M output tokens cannot be calculated reliably because separate numeric input and output rates are not listed for both models.

Choose Qwen3 8B if…

Choose Qwen3 8B when your task aligns with catalog-listed uses or strengths such as Fast everyday coding assistance in Python, JS, and TypeScript, Multilingual chatbots targeting Asian and African markets, Edge deployment and cost-sensitive production APIs, Student homework help across 119 languages.

Choose Qwen3 14B if…

Choose Qwen3 14B when your task aligns with catalog-listed uses or strengths such as Production coding assistants needing balanced speed and quality, Mid-tier reasoning: data analysis, document summarization, Multilingual business applications targeting Asian markets, Balanced speed and intelligence — best performance-per-compute in Qwen3 family.

Qwen3 8B

Browse Qwen models

Compact Qwen3 powerhouse — everyday coding, multilingual analysis, and step-by-step reasoning at fast inference speeds. Uses hybrid think...

Parameters: 8B

Context: 128K tokens

Catalog pricing: Open source — free to download. API access via third-party providers ~$0.05-0.15/MTok

Qwen Coding · Reasoning · Long Context Open Source

View Qwen3 8B model profile

Qwen3 14B

Browse Qwen models

Mid-size Qwen3 — balanced speed and intelligence. Strong on coding, analysis, and multilingual chat tasks.

Parameters: 14B

Context: 128K tokens

Catalog pricing: Open source — free. Third-party API ~$0.10-0.20/MTok

Qwen General Purpose Open Source

View Qwen3 14B model profile

Feature Comparison — Qwen3 8B vs Qwen3 14B

Catalog specifications for Qwen3 8B and Qwen3 14B
Specification Qwen3 8B Qwen3 14B
Provider Qwen Qwen
Parameters 8B 14B
Context window 128K tokens 128K tokens
Maximum output Not listed Not listed
Catalog pricing Open source — free to download. API access via third-party providers ~$0.05-0.15/MTok Open source — free. Third-party API ~$0.10-0.20/MTok
Listed input/output cost per 1M tokens Separate numeric input/output rates not listed input $0.25, output $0.5 per 1M tokens
License Apache 2.0 Apache 2.0
Coding support Listed Not listed
Reasoning support Listed Not listed
Vision input Not listed Not listed
Multimodal Not listed Not listed
Open weights Yes Yes
Benchmark: MMLU 87.5% 90.1%
Benchmark: HumanEval 85.6% 90.2%
Benchmark: MATH 88.0% 93.8%

Figures are transcribed from LITHOVEX model records. Benchmark versions and evaluation setups may differ; pricing and specifications can change. Check each provider's current documentation before making a decision.

Frequently Asked Questions

What is different between Qwen3 8B and Qwen3 14B?
Qwen3 8B: 128K tokens; Qwen3 14B: 128K tokens. The listed context-window values are equal. Qwen3 8B is listed for coding, reasoning, long-context tasks; Qwen3 14B is listed for no specific capability flags. Shared catalog benchmark entries: MMLU: Qwen3 8B 87.5%; Qwen3 14B 90.1%; HumanEval: Qwen3 8B 85.6%; Qwen3 14B 90.2%; MATH: Qwen3 8B 88.0%; Qwen3 14B 93.8%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
What benchmark values are listed for Qwen3 8B and Qwen3 14B?
MMLU: Qwen3 8B 87.5%; Qwen3 14B 90.1%; HumanEval: Qwen3 8B 85.6%; Qwen3 14B 90.2%; MATH: Qwen3 8B 88.0%; Qwen3 14B 93.8%. The catalog values may use different versions and evaluation setups, so they are reference points rather than a controlled head-to-head result.
Which model has the larger listed context window?
Qwen3 8B: 128K tokens; Qwen3 14B: 128K tokens. The listed context-window values are equal.
What are the listed costs per million tokens for Qwen3 8B and Qwen3 14B?
Qwen3 8B: Separate numeric input/output rates not listed (Open source — free to download. API access via third-party providers ~$0.05-0.15/MTok). Qwen3 14B: input $0.25, output $0.5 per 1M tokens (Open source — free. Third-party API ~$0.10-0.20/MTok). Where separate numeric input and output rates are available, the worked example uses 1M input plus 1M output tokens. Confirm current terms with each provider.
How far apart are the listed release dates for Qwen3 8B and Qwen3 14B?
The catalog lists Qwen3 8B as April 2025 and Qwen3 14B as April 2025, about 0 months apart at the precision supplied.
When was the comparison data last updated?
The model catalog records 2026-10-16 as its data update date. Provider specifications and prices may have changed since then.
How should I choose between Qwen3 8B and Qwen3 14B?
Compare the listed specifications and capabilities, review the benchmark notes, then test both with the same representative prompt for your task. This page does not claim a universal winner.

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