Model Comparison

DeepSeek Coder 6.7B Instruct vs StarCoder2 15B Instruct

Compare the listed model data for DeepSeek Coder 6.7B Instruct by deepseek-ai and StarCoder2 15B Instruct by bigcode. 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

DeepSeek Coder 6.7B Instruct: 16K tokens; StarCoder2 15B Instruct: 16K tokens. The listed context-window values are equal. DeepSeek Coder 6.7B Instruct is listed for coding; StarCoder2 15B Instruct is listed for coding. Shared catalog benchmark entries: HumanEval: DeepSeek Coder 6.7B Instruct 78.6%; StarCoder2 15B Instruct 72.0%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.

Computed differences from catalog data

  • The listed context windows are 16K tokens and 16K tokens; the larger is 1× the smaller.
  • On shared numeric benchmark entries, HumanEval: DeepSeek Coder 6.7B Instruct − StarCoder2 15B Instruct = +6.6 percentage points (78.6% vs 72.0%).
  • The first listed parameter quantities are 6.7B and 15.5B; the larger quantity is 2.31× the smaller. Total and active MoE parameters are not directly equivalent.
  • The catalog release dates are November 2023 and April 2024, about 5 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 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.

Choose StarCoder2 15B Instruct if…

Choose StarCoder2 15B Instruct when your task aligns with catalog-listed uses or strengths such as Conversational code assistance, Code review and documentation generation, 72% HumanEval — significant jump from base StarCoder2, Good at explaining code and writing documentation.

DeepSeek Coder 6.7B Instruct

Browse deepseek-ai models

DeepSeek's compact code model trained on 2T tokens of code — strong at completion, refactoring, and bug fixes across 80+ languages.

Parameters: 6.7B

Context: 16K tokens

Catalog pricing: DeepSeek Coder License — free for commercial use

deepseek-ai Coding Open Source

View DeepSeek Coder 6.7B Instruct model profile

bigcodeB
StarCoder2 15B Instruct

Browse bigcode models

BigCode's instruction-tuned StarCoder2 15B — agentic auto-coding, multi-file refactors, and natural-language-to-code generation.

Parameters: 15.5B

Context: 16K tokens

Catalog pricing: BigCode OpenRAIL-M — free

bigcode Coding Open Source

View StarCoder2 15B Instruct model profile

Feature Comparison — DeepSeek Coder 6.7B Instruct vs StarCoder2 15B Instruct

Catalog specifications for DeepSeek Coder 6.7B Instruct and StarCoder2 15B Instruct
Specification DeepSeek Coder 6.7B Instruct StarCoder2 15B Instruct
Provider deepseek-ai bigcode
Parameters 6.7B 15.5B
Context window 16K tokens 16K tokens
Maximum output Not listed Not listed
Catalog pricing DeepSeek Coder License — free for commercial use BigCode OpenRAIL-M — free
Listed input/output cost per 1M tokens Separate numeric input/output rates not listed Separate numeric input/output rates not listed
License DeepSeek Coder License BigCode OpenRAIL-M
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 78.6% 72.0%

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 DeepSeek Coder 6.7B Instruct and StarCoder2 15B Instruct?
DeepSeek Coder 6.7B Instruct: 16K tokens; StarCoder2 15B Instruct: 16K tokens. The listed context-window values are equal. DeepSeek Coder 6.7B Instruct is listed for coding; StarCoder2 15B Instruct is listed for coding. Shared catalog benchmark entries: HumanEval: DeepSeek Coder 6.7B Instruct 78.6%; StarCoder2 15B Instruct 72.0%. 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 DeepSeek Coder 6.7B Instruct and StarCoder2 15B Instruct?
HumanEval: DeepSeek Coder 6.7B Instruct 78.6%; StarCoder2 15B Instruct 72.0%. 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?
DeepSeek Coder 6.7B Instruct: 16K tokens; StarCoder2 15B Instruct: 16K tokens. The listed context-window values are equal.
What are the listed costs per million tokens for DeepSeek Coder 6.7B Instruct and StarCoder2 15B Instruct?
DeepSeek Coder 6.7B Instruct: Separate numeric input/output rates not listed (DeepSeek Coder License — free for commercial use). StarCoder2 15B Instruct: Separate numeric input/output rates not listed (BigCode OpenRAIL-M — 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 DeepSeek Coder 6.7B Instruct and StarCoder2 15B Instruct?
The catalog lists DeepSeek Coder 6.7B Instruct as November 2023 and StarCoder2 15B Instruct as April 2024, about 5 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 DeepSeek Coder 6.7B Instruct and StarCoder2 15B 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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