DeepSeek: DeepSeek V3
Analysis Summary
DeepSeek V3 is a capable general-purpose model with a coding index of 23 and agentic index of 14.8, supported by tool use and function calling. Its MMLU-Pro score of 0.752 and GPQA of 0.557 indicate solid broad knowledge, and the 128K context window supports longer document workflows. Pricing is very competitive at $0.20 input and $0.80 output per million tokens.
For businesses, V3 suits structured content generation, code assistance, and tool-augmented workflows where cost efficiency matters. Its long-context retrieval score is modest, and the agentic index is not competitive with top-tier models, so complex multi-step agent pipelines may underperform. A -4 point regional penalty applies given the provider's limited enterprise adoption.
At this price point with tool use included, V3 is a practical choice for teams running high-volume coding or content tasks where frontier-level reasoning is not required.
Assessed June 30, 2026
Editorial notes
DeepSeek V3 offers strong coding and instruction-following with tool use and function calling, a 128K context window, and competitive pricing, though its intelligence index reflects a mid-tier position in the current landscape.
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 #183 of 385 AI models we track for overall intelligence, #76 of 139 for coding, #224 of 293 for agentic tasks. Its 131K-token context window is larger than 59% 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
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 #76 of 139 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.
