Compare the listed model data for Qwen3 14B by Qwen and Llama 3.1 8B Instruct by Meta Llama. 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 14B: 128K tokens; Llama 3.1 8B Instruct: 128K tokens. The listed context-window values are equal. Qwen3 14B is listed for no specific capability flags; Llama 3.1 8B Instruct is listed for no specific capability flags. Shared catalog benchmark entries: MMLU: Qwen3 14B 90.1%; Llama 3.1 8B Instruct 73.0%; HumanEval: Qwen3 14B 90.2%; Llama 3.1 8B Instruct 72.6%; MATH: Qwen3 14B 93.8%; Llama 3.1 8B Instruct 51.9%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
Catalog source links
Use these model and provider links to verify current specifications, pricing, and availability.
The first listed parameter quantities are 14B and 8B; 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 July 2024, about 9 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 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.
Choose Llama 3.1 8B Instruct if…
Choose Llama 3.1 8B Instruct when your task aligns with catalog-listed uses or strengths such as Deployments requiring Llama 3.1 compatibility, Fine-tuning with existing Llama 3.1 8B fine-tunes, One of the most widely deployed open models globally, 128K context at 8B scale.
Feature Comparison — Qwen3 14B vs Llama 3.1 8B Instruct
Catalog specifications for Qwen3 14B and Llama 3.1 8B Instruct
Specification
Qwen3 14B
Llama 3.1 8B Instruct
Provider
Qwen
Meta Llama
Parameters
14B
8B
Context window
128K tokens
128K tokens
Maximum output
Not listed
Not listed
Catalog pricing
Open source — free. Third-party API ~$0.10-0.20/MTok
Free — Llama 3.1 Community License
Listed input/output cost per 1M tokens
input $0.25, output $0.5 per 1M tokens
Separate numeric input/output rates not listed
License
Apache 2.0
Meta Llama 3.1 Community License
Coding support
Not listed
Not listed
Reasoning support
Not listed
Not listed
Vision input
Not listed
Not listed
Multimodal
Not listed
Not listed
Open weights
Yes
Yes
Benchmark: MMLU
90.1%
73.0%
Benchmark: HumanEval
90.2%
72.6%
Benchmark: MATH
93.8%
51.9%
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 14B and Llama 3.1 8B Instruct?
Qwen3 14B: 128K tokens; Llama 3.1 8B Instruct: 128K tokens. The listed context-window values are equal. Qwen3 14B is listed for no specific capability flags; Llama 3.1 8B Instruct is listed for no specific capability flags. Shared catalog benchmark entries: MMLU: Qwen3 14B 90.1%; Llama 3.1 8B Instruct 73.0%; HumanEval: Qwen3 14B 90.2%; Llama 3.1 8B Instruct 72.6%; MATH: Qwen3 14B 93.8%; Llama 3.1 8B Instruct 51.9%. 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 14B and Llama 3.1 8B Instruct?
MMLU: Qwen3 14B 90.1%; Llama 3.1 8B Instruct 73.0%; HumanEval: Qwen3 14B 90.2%; Llama 3.1 8B Instruct 72.6%; MATH: Qwen3 14B 93.8%; Llama 3.1 8B Instruct 51.9%. 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 14B: 128K tokens; Llama 3.1 8B Instruct: 128K tokens. The listed context-window values are equal.
What are the listed costs per million tokens for Qwen3 14B and Llama 3.1 8B Instruct?
Qwen3 14B: input $0.25, output $0.5 per 1M tokens (Open source — free. Third-party API ~$0.10-0.20/MTok). Llama 3.1 8B Instruct: Separate numeric input/output rates not listed (Free — Llama 3.1 Community License). 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 14B and Llama 3.1 8B Instruct?
The catalog lists Qwen3 14B as April 2025 and Llama 3.1 8B Instruct as July 2024, about 9 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 14B and Llama 3.1 8B Instruct?
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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