# DeepSeek V4 Review & Benchmarks (2026): Price, Context, Specs | Alher Tech

> DeepSeek V4 by DeepSeek: benchmarks, pricing, context window, strengths and use cases. Data from official benchmark sources.

- Canonical page: https://alhertech.com/en/ai-comparison/deepseek-v4/
- Site: Alher Tech (custom software, AI agents and SEO engineering, https://alhertech.com/)
- Contact: https://alhertech.com/en/contact/

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Last updated: April 26, 2026

## Specs

- **Vendor**: DeepSeek
- **Released**: April 24, 2026
- **Context window**: 1M tokens
- **Input**: $1.74 / M tokens
- **Output**: $3.48 / M tokens

## Benchmarks

- **mmlu**: 91.5
- **gpqa**: 73
- **humanEval**: 91
- **arenaElo**: 1395
- **sweBench**: 62
- **sweBenchPro**: 54
- **liveCodeBench**: 73
- **aiderPolyglot**: 70
- **terminalBench**: 40
- **mmluPro**: 85
- **hle**: 18
- **aime**: 90
- **math500**: 97
- **mmmu**: 76

## Strengths

- 1.6T-parameter MoE flagship under MIT license: fully open-source
- 1M-token context with hybrid sparse attention (~10% of V3.2 KV cache)
- Roughly 1/6th the cost of GPT-5.5 and Claude Opus 4.7 for similar frontier-tier output

## Weaknesses

- Lags top frontier models on Chatbot Arena (creative writing, instruction following)
- No native audio modality
- Tool-use ecosystem less mature than OpenAI / Anthropic

## Best for

- STEM, math and graduate-level reasoning at scale
- Cost-sensitive 1M-context workloads (document + codebase analysis)
- Self-hosted enterprise deployments with data residency requirements

[Compare with other AI models](https://alhertech.com/en/ai-comparison/)