DeepSeekDeepSeek V4 ProVSxAIGrok 4.20
Our Take
We recommend DeepSeek V4 Pro for a 1.4x API cost saving at identical performance levels. While both models deliver similar intelligence, DeepSeek V4 Pro is the optimal choice for high-volume pipelines. Choose DeepSeek V4 Pro for budget efficiency without sacrificing quality.
▶WHY?
Benchmark Calculations & Evidence:
Performance Match: Both models perform almost identically, with an average score gap of just 1.2% across reasoning and coding benchmarks.
Coding Benchmarks: Both models were evaluated on the SWE-bench Pro benchmark. DeepSeek V4 Pro scored 52.1%, while Grok 4.20 scored 51.8%.
Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. DeepSeek V4 Pro scored 88%, while Grok 4.20 scored 90%.
Cost Efficiency: DeepSeek V4 Pro pricing ($1.74/M input, $3.48/M output) is 1.4x cheaper than Grok 4.20 ($2/M input, $6/M output).
Was this recommendation helpful?
Benchmarks & Scores
Coding (swe-bench-pro)Winner (+0.3%)
52.1%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)
88%graduate-level science QA
Cost & Context
Cost (per 1M tokens)1.4x cheaper
$2.17Input: $1.74 | Output: $3.48Context Window
1.05M tokensBenchmarks & Scores
Coding (swe-bench-pro)
51.8%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+2.0%)
90%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$3.00Input: $2.00 | Output: $6.00Context Window
1.05M tokensFrequently Asked Questions about DeepSeek V4 Pro vs Grok 4.20
DeepSeek V4 Pro is cheaper than Grok 4.20. DeepSeek V4 Pro has a blended cost of $2.17/1M tokens, which is about 1.4x cheaper than Grok 4.20 at $3.00/1M tokens.
DeepSeek V4 Pro is better for coding tasks on this benchmark. It scores 52.1% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning) compared to Grok 4.20 which scores 51.8%.
Related Matchups
Explore similar comparisons for DeepSeek V4 Pro and Grok 4.20.
Do you want to find a model for your constraints?
Use our interactive model finder to filter LLMs by reasoning capability, coding performance, cost, and context length.