DeepSeek: DeepSeek V3
Analysis Summary
DeepSeek V3 is a capable general-purpose model with an intelligence index of 16.5 and a coding index of 16.4, backed by strong math and livecodebench scores. It supports tool use and function calling, and its 131K context window is adequate for most business document tasks. The model shows competitive performance across reasoning, coding, and structured output relative to its price tier.
For businesses, it is well-suited to coding assistance, mathematical reasoning, structured data extraction, and content generation. Its instruction-following and long-context scores are reasonable, and the tool use support opens it to lightweight agentic workflows. The main consideration for some teams is provider accessibility and enterprise support, which may be less established than with major Western API providers.
At $0.20 input and $0.80 output per million tokens, it offers strong value for its capability level. Teams comfortable with its provider and looking for a cost-effective coding and reasoning model will find it a compelling option.
Assessed June 6, 2026
Editorial notes
DeepSeek V3 delivers strong coding and math performance with tool use and function calling at very low cost, though provider accessibility may be a consideration for some business teams.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How DeepSeek: DeepSeek V3 compares
DeepSeek: DeepSeek V3 ranks #205 of 374 AI models we track for overall intelligence, #166 of 311 for coding, #215 of 286 for agentic tasks. Its 131K-token context window is larger than 60% of the models we list. At $0.20 per million input tokens it is cheaper than 49% of comparable models.
About DeepSeek: DeepSeek V3
DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does DeepSeek: DeepSeek V3 stack up?
Compare side-by-side with other professional models.
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.20 | $0.000200 |
| Output | $0.80 | $0.000800 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
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Frequently asked questions about DeepSeek: DeepSeek V3
How much does DeepSeek: DeepSeek V3 cost?
DeepSeek: DeepSeek V3 costs $0.20 per million input tokens and $0.80 per million output tokens.
What is the context window of DeepSeek: DeepSeek V3?
DeepSeek: DeepSeek V3 has a context window of 131,072 tokens (131K).
Is DeepSeek: DeepSeek V3 good for coding?
On our coding benchmark index, DeepSeek: DeepSeek V3 ranks #166 of 311 models, placing it in the broader range of the field for code generation and debugging.
What can DeepSeek: DeepSeek V3 do?
DeepSeek: DeepSeek V3 supports tool use and function calling.
Who created DeepSeek: DeepSeek V3?
DeepSeek: DeepSeek V3 is developed by DeepSeek and was released on December 26, 2024.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 5, 2026 8:38 pm