Compare the listed model data for Qwen3 8B by Qwen and Mistral 7B Instruct v0.3 by mistralai. 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; Mistral 7B Instruct v0.3: 32K tokens. Qwen3 8B has the larger listed context window. Qwen3 8B is listed for coding, reasoning, long-context tasks; Mistral 7B Instruct v0.3 is listed for coding. Shared catalog benchmark entries: MMLU: Qwen3 8B 87.5%; Mistral 7B Instruct v0.3 62.5%; HumanEval: Qwen3 8B 85.6%; Mistral 7B Instruct v0.3 60.2%; MATH: Qwen3 8B 88.0%; Mistral 7B Instruct v0.3 29.5%. 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 8B and 7.3B; the larger quantity is 1.1× the smaller. Total and active MoE parameters are not directly equivalent.
The catalog release dates are April 2025 and May 2024, about 11 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 Mistral 7B Instruct v0.3 if…
Choose Mistral 7B Instruct v0.3 when your task aligns with catalog-listed uses or strengths such as Deployments running established Mistral 7B fine-tunes, Learning and experimentation with well-documented model, Historic model — first to significantly outperform Llama 13B at 7B scale, Apache 2.0 — fully free commercial use.
Feature Comparison — Qwen3 8B vs Mistral 7B Instruct v0.3
Catalog specifications for Qwen3 8B and Mistral 7B Instruct v0.3
Specification
Qwen3 8B
Mistral 7B Instruct v0.3
Provider
Qwen
mistralai
Parameters
8B
7.3B
Context window
128K tokens
32K 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
Apache 2.0 — free
Listed input/output cost per 1M tokens
Separate numeric input/output rates not listed
Separate numeric input/output rates not listed
License
Apache 2.0
Apache 2.0
Coding support
Listed
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%
62.5%
Benchmark: HumanEval
85.6%
60.2%
Benchmark: MATH
88.0%
29.5%
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 Mistral 7B Instruct v0.3?
Qwen3 8B: 128K tokens; Mistral 7B Instruct v0.3: 32K tokens. Qwen3 8B has the larger listed context window. Qwen3 8B is listed for coding, reasoning, long-context tasks; Mistral 7B Instruct v0.3 is listed for coding. Shared catalog benchmark entries: MMLU: Qwen3 8B 87.5%; Mistral 7B Instruct v0.3 62.5%; HumanEval: Qwen3 8B 85.6%; Mistral 7B Instruct v0.3 60.2%; MATH: Qwen3 8B 88.0%; Mistral 7B Instruct v0.3 29.5%. 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 Mistral 7B Instruct v0.3?
MMLU: Qwen3 8B 87.5%; Mistral 7B Instruct v0.3 62.5%; HumanEval: Qwen3 8B 85.6%; Mistral 7B Instruct v0.3 60.2%; MATH: Qwen3 8B 88.0%; Mistral 7B Instruct v0.3 29.5%. 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; Mistral 7B Instruct v0.3: 32K tokens. Qwen3 8B has the larger listed context window.
What are the listed costs per million tokens for Qwen3 8B and Mistral 7B Instruct v0.3?
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). Mistral 7B Instruct v0.3: Separate numeric input/output rates not listed (Apache 2.0 — free). 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 Mistral 7B Instruct v0.3?
The catalog lists Qwen3 8B as April 2025 and Mistral 7B Instruct v0.3 as May 2024, about 11 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 Mistral 7B Instruct v0.3?
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.
Create your free LITHOVEX account and compare Qwen3 8B and Mistral 7B Instruct v0.3 on your actual tasks. No credit card, no API key, no subscriptions needed.