Compare the listed model data for Qwen3 Next 80B-A3B by Qwen and DeepSeek-V3 by DeepSeek. 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 Next 80B-A3B: 128K tokens; DeepSeek-V3: 128K tokens. The listed context-window values are equal. Qwen3 Next 80B-A3B is listed for no specific capability flags; DeepSeek-V3 is listed for coding, agentic workflows, long-context tasks. Shared catalog benchmark entries: MMLU: Qwen3 Next 80B-A3B 92.9%; DeepSeek-V3 88.5%; LiveCodeBench: Qwen3 Next 80B-A3B 68.5%; DeepSeek-V3 51.4%. 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 listed context windows are 128K tokens and 128K tokens; the larger is 1× the smaller.
On shared numeric benchmark entries, MMLU: Qwen3 Next 80B-A3B − DeepSeek-V3 = +4.4 percentage points (92.9% vs 88.5%); LiveCodeBench: Qwen3 Next 80B-A3B − DeepSeek-V3 = +17.1 percentage points (68.5% vs 51.4%).
The first listed parameter quantities are 80B total (3B active) and 671B total (37B active via MoE); the larger quantity is 8.39× the smaller. Total and active MoE parameters are not directly equivalent.
A release-date gap cannot be calculated from the catalog values (Qwen3 Next 80B-A3B: 2025; DeepSeek-V3: December 2024).
Cost example: 1M input and 1M output tokens
Using only the catalog's listed per-million-token rates, 1M input plus 1M output tokens costs about $1.8 for Qwen3 Next 80B-A3B and $1.37 for DeepSeek-V3. This excludes provider-specific discounts, caching, and other fees.
Choose Qwen3 Next 80B-A3B if…
Choose Qwen3 Next 80B-A3B when your task aligns with catalog-listed uses or strengths such as High-quality production AI at low inference cost, Speed-sensitive enterprise applications, 80B knowledge at 3B inference cost — excellent efficiency ratio, Qwen3 quality at near-3B speed.
Choose DeepSeek-V3 if…
Choose DeepSeek-V3 when your task aligns with catalog-listed uses or strengths such as General-purpose coding and software development, Business document analysis, API building at high quality and low cost, Enterprise AI integration at scale.
Feature Comparison — Qwen3 Next 80B-A3B vs DeepSeek-V3
Catalog specifications for Qwen3 Next 80B-A3B and DeepSeek-V3
Specification
Qwen3 Next 80B-A3B
DeepSeek-V3
Provider
Qwen
DeepSeek
Parameters
80B total (3B active)
671B total (37B active via MoE)
Context window
128K tokens
128K tokens
Maximum output
Not listed
Not listed
Catalog pricing
Apache 2.0 — free
MIT open source. DeepSeek API: $0.27/MTok input, $1.10/MTok output
Listed input/output cost per 1M tokens
input $0.6, output $1.2 per 1M tokens
input $0.27, output $1.1 per 1M tokens
License
Apache 2.0
MIT
Coding support
Not listed
Listed
Reasoning support
Not listed
Not listed
Vision input
Not listed
Not listed
Multimodal
Not listed
Not listed
Open weights
Yes
Yes
Benchmark: MMLU
92.9%
88.5%
Benchmark: LiveCodeBench
68.5%
51.4%
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 Next 80B-A3B and DeepSeek-V3?
Qwen3 Next 80B-A3B: 128K tokens; DeepSeek-V3: 128K tokens. The listed context-window values are equal. Qwen3 Next 80B-A3B is listed for no specific capability flags; DeepSeek-V3 is listed for coding, agentic workflows, long-context tasks. Shared catalog benchmark entries: MMLU: Qwen3 Next 80B-A3B 92.9%; DeepSeek-V3 88.5%; LiveCodeBench: Qwen3 Next 80B-A3B 68.5%; DeepSeek-V3 51.4%. 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 Next 80B-A3B and DeepSeek-V3?
MMLU: Qwen3 Next 80B-A3B 92.9%; DeepSeek-V3 88.5%; LiveCodeBench: Qwen3 Next 80B-A3B 68.5%; DeepSeek-V3 51.4%. 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 Next 80B-A3B: 128K tokens; DeepSeek-V3: 128K tokens. The listed context-window values are equal.
What are the listed costs per million tokens for Qwen3 Next 80B-A3B and DeepSeek-V3?
Qwen3 Next 80B-A3B: input $0.6, output $1.2 per 1M tokens (Apache 2.0 — free). DeepSeek-V3: input $0.27, output $1.1 per 1M tokens (MIT open source. DeepSeek API: $0.27/MTok input, $1.10/MTok output). 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 Next 80B-A3B and DeepSeek-V3?
The catalog lists Qwen3 Next 80B-A3B as 2025 and DeepSeek-V3 as December 2024; a release-date gap cannot be calculated from both records.
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 Next 80B-A3B and DeepSeek-V3?
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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