Compare the listed model data for Qwen2.5 Coder 7B by Qwen and DeepSeek Coder 6.7B Instruct by deepseek-ai. 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
Qwen2.5 Coder 7B: 128K tokens; DeepSeek Coder 6.7B Instruct: 16K tokens. Qwen2.5 Coder 7B has the larger listed context window. Qwen2.5 Coder 7B is listed for coding; DeepSeek Coder 6.7B Instruct is listed for coding. Shared catalog benchmark entries: HumanEval: Qwen2.5 Coder 7B 88.4%; DeepSeek Coder 6.7B Instruct 78.6%; MBPP: Qwen2.5 Coder 7B 83.5%; DeepSeek Coder 6.7B Instruct 74.9%. 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 7B and 6.7B; the larger quantity is 1.04× the smaller. Total and active MoE parameters are not directly equivalent.
The catalog release dates are September 2024 and November 2023, about 10 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 Qwen2.5 Coder 7B if…
Choose Qwen2.5 Coder 7B when your task aligns with catalog-listed uses or strengths such as Production coding assistance on consumer hardware, IDE integration with FIM at minimal resource cost, 88.4% HumanEval — best open 7B coding model at its release time, FIM for IDE code completion.
Choose DeepSeek Coder 6.7B Instruct if…
Choose DeepSeek Coder 6.7B Instruct when your task aligns with catalog-listed uses or strengths such as Legacy code completion integrations, Resource-constrained code deployments, Strong coding at 6.7B for 2023 — competitive with GPT-3.5 on code, 86+ programming languages.
Catalog specifications for Qwen2.5 Coder 7B and DeepSeek Coder 6.7B Instruct
Specification
Qwen2.5 Coder 7B
DeepSeek Coder 6.7B Instruct
Provider
Qwen
deepseek-ai
Parameters
7B
6.7B
Context window
128K tokens
16K tokens
Maximum output
Not listed
Not listed
Catalog pricing
Apache 2.0 — free
DeepSeek Coder License — free for commercial use
Listed input/output cost per 1M tokens
input $0.1, output $0.3 per 1M tokens
Separate numeric input/output rates not listed
License
Apache 2.0
DeepSeek Coder License
Coding support
Listed
Listed
Reasoning support
Not listed
Not listed
Vision input
Not listed
Not listed
Multimodal
Not listed
Not listed
Open weights
Yes
Yes
Benchmark: HumanEval
88.4%
78.6%
Benchmark: MBPP
83.5%
74.9%
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 Qwen2.5 Coder 7B and DeepSeek Coder 6.7B Instruct?
Qwen2.5 Coder 7B: 128K tokens; DeepSeek Coder 6.7B Instruct: 16K tokens. Qwen2.5 Coder 7B has the larger listed context window. Qwen2.5 Coder 7B is listed for coding; DeepSeek Coder 6.7B Instruct is listed for coding. Shared catalog benchmark entries: HumanEval: Qwen2.5 Coder 7B 88.4%; DeepSeek Coder 6.7B Instruct 78.6%; MBPP: Qwen2.5 Coder 7B 83.5%; DeepSeek Coder 6.7B Instruct 74.9%. 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 Qwen2.5 Coder 7B and DeepSeek Coder 6.7B Instruct?
HumanEval: Qwen2.5 Coder 7B 88.4%; DeepSeek Coder 6.7B Instruct 78.6%; MBPP: Qwen2.5 Coder 7B 83.5%; DeepSeek Coder 6.7B Instruct 74.9%. 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?
Qwen2.5 Coder 7B: 128K tokens; DeepSeek Coder 6.7B Instruct: 16K tokens. Qwen2.5 Coder 7B has the larger listed context window.
What are the listed costs per million tokens for Qwen2.5 Coder 7B and DeepSeek Coder 6.7B Instruct?
Qwen2.5 Coder 7B: input $0.1, output $0.3 per 1M tokens (Apache 2.0 — free). DeepSeek Coder 6.7B Instruct: Separate numeric input/output rates not listed (DeepSeek Coder License — free for commercial use). 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 Qwen2.5 Coder 7B and DeepSeek Coder 6.7B Instruct?
The catalog lists Qwen2.5 Coder 7B as September 2024 and DeepSeek Coder 6.7B Instruct as November 2023, about 10 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 Qwen2.5 Coder 7B and DeepSeek Coder 6.7B 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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