Compare the listed model data for Qwen3 235B Thinking (Jul 25) by Qwen and DeepSeek-R1 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 235B Thinking (Jul 25): 128K tokens; DeepSeek-R1: 128K tokens. The listed context-window values are equal. Qwen3 235B Thinking (Jul 25) is listed for coding, reasoning, long-context tasks; DeepSeek-R1 is listed for coding, reasoning, long-context tasks. Shared catalog benchmark entries: MATH-500: Qwen3 235B Thinking (Jul 25) 97.0%; DeepSeek-R1 97.3%; LiveCodeBench: Qwen3 235B Thinking (Jul 25) 72.5%; DeepSeek-R1 65.9%; MMLU: Qwen3 235B Thinking (Jul 25) 93.0%; DeepSeek-R1 90.8%. 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 235B total (22B active) and 671B total (37B active via MoE); the larger quantity is 2.86× the smaller. Total and active MoE parameters are not directly equivalent.
The catalog release dates are July 2025 and January 2025, about 6 months apart at the precision supplied.
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 $2.3 for Qwen3 235B Thinking (Jul 25) and $2.74 for DeepSeek-R1. This excludes provider-specific discounts, caching, and other fees.
Choose Qwen3 235B Thinking (Jul 25) if…
Choose Qwen3 235B Thinking (Jul 25) when your task aligns with catalog-listed uses or strengths such as Frontier reasoning tasks with July 2025 improvements, Improved thinking mode with July 2025 update, Elite mathematical and reasoning benchmarks, Apache 2.0.
Choose DeepSeek-R1 if…
Choose DeepSeek-R1 when your task aligns with catalog-listed uses or strengths such as Competition mathematics and proof verification, Advanced software engineering: debugging complex systems, production-grade algorithms, Scientific research in physics, chemistry, biology, Enterprise AI agents needing transparent, auditable reasoning.
Feature Comparison — Qwen3 235B Thinking (Jul 25) vs DeepSeek-R1
Catalog specifications for Qwen3 235B Thinking (Jul 25) and DeepSeek-R1
Specification
Qwen3 235B Thinking (Jul 25)
DeepSeek-R1
Provider
Qwen
DeepSeek
Parameters
235B total (22B 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
Open source MIT license — free to self-host. DeepSeek API: $0.14/MTok input (cache hit), $0.55/MTok input, $2.19/MTok output
Listed input/output cost per 1M tokens
input $0.8, output $1.5 per 1M tokens
input $0.55, output $2.19 per 1M tokens
License
Apache 2.0
MIT
Coding support
Listed
Listed
Reasoning support
Listed
Listed
Vision input
Not listed
Not listed
Multimodal
Not listed
Not listed
Open weights
Yes
Yes
Benchmark: MATH-500
97.0%
97.3%
Benchmark: LiveCodeBench
72.5%
65.9%
Benchmark: MMLU
93.0%
90.8%
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 235B Thinking (Jul 25) and DeepSeek-R1?
Qwen3 235B Thinking (Jul 25): 128K tokens; DeepSeek-R1: 128K tokens. The listed context-window values are equal. Qwen3 235B Thinking (Jul 25) is listed for coding, reasoning, long-context tasks; DeepSeek-R1 is listed for coding, reasoning, long-context tasks. Shared catalog benchmark entries: MATH-500: Qwen3 235B Thinking (Jul 25) 97.0%; DeepSeek-R1 97.3%; LiveCodeBench: Qwen3 235B Thinking (Jul 25) 72.5%; DeepSeek-R1 65.9%; MMLU: Qwen3 235B Thinking (Jul 25) 93.0%; DeepSeek-R1 90.8%. 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 235B Thinking (Jul 25) and DeepSeek-R1?
MATH-500: Qwen3 235B Thinking (Jul 25) 97.0%; DeepSeek-R1 97.3%; LiveCodeBench: Qwen3 235B Thinking (Jul 25) 72.5%; DeepSeek-R1 65.9%; MMLU: Qwen3 235B Thinking (Jul 25) 93.0%; DeepSeek-R1 90.8%. 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 235B Thinking (Jul 25): 128K tokens; DeepSeek-R1: 128K tokens. The listed context-window values are equal.
What are the listed costs per million tokens for Qwen3 235B Thinking (Jul 25) and DeepSeek-R1?
Qwen3 235B Thinking (Jul 25): input $0.8, output $1.5 per 1M tokens (Apache 2.0 — free). DeepSeek-R1: input $0.55, output $2.19 per 1M tokens (Open source MIT license — free to self-host. DeepSeek API: $0.14/MTok input (cache hit), $0.55/MTok input, $2.19/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 235B Thinking (Jul 25) and DeepSeek-R1?
The catalog lists Qwen3 235B Thinking (Jul 25) as July 2025 and DeepSeek-R1 as January 2025, about 6 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 235B Thinking (Jul 25) and DeepSeek-R1?
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 235B Thinking (Jul 25) and DeepSeek-R1 on your actual tasks. No credit card, no API key, no subscriptions needed.