71Fit score
Legacy compatibility id mapping to DeepSeek V4 Flash thinking mode (per DeepSeek pricing notes).
Model details →Best open-source AI models
Open-weight models you can run on your own infrastructure. No vendor lock-in, no per-token cost.
71Fit score
DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and...
Model details →71Fit score
DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....
Model details →Top 25 models for open weights
| # | Model | Provider | Context | Input price / 1M | Tier |
|---|---|---|---|---|---|
| 1 | DeepSeek Reasoner (legacy id) | DeepSeek | 1M Ultra context (1M+) | Custom | Variable |
| 2 | DeepSeek: DeepSeek V4 Flash 0423 | DeepSeek | 1.0M Ultra context (1M+) | $0.09 | Budget |
| 3 | DeepSeek: DeepSeek V4 Flash 0731 | DeepSeek | 1.0M Ultra context (1M+) | $0.02 | Budget |
| 4 | DeepSeek: DeepSeek V4 Flash 0731 (batch) | DeepSeek | 1.0M Ultra context (1M+) | $0.11 | Budget |
| 5 | DeepSeek: DeepSeek V4 Flash 0731 (free) | DeepSeek | 1.0M Ultra context (1M+) | $0.00 | Budget |
| 6 | DeepSeek: DeepSeek V4 Flash Vision Exp | DeepSeek | 1.0M Ultra context (1M+) | $0.22 | Budget |
| 7 | DeepSeek: DeepSeek V4 Flash Vision Exp (batch) | DeepSeek | 1.0M Ultra context (1M+) | $0.11 | Budget |
| 8 | DeepSeek: DeepSeek V4 Pro 0423 | DeepSeek | 1.0M Ultra context (1M+) | $0.96 | Budget |
| 9 | DeepSeek: DeepSeek V4 Pro 0813 | DeepSeek | 1.0M Ultra context (1M+) | $1.32 | Standard |
| 10 | DeepSeek: DeepSeek V4 Pro 0813 (batch) | DeepSeek | 1.0M Ultra context (1M+) | $0.66 | Budget |
| 11 | DeepSeek: DeepSeek V4.1 Flash | DeepSeek | 1.0M Ultra context (1M+) | $0.04 | Budget |
| 12 | DeepSeek: DeepSeek V4.1 Flash (batch) | DeepSeek | 1.0M Ultra context (1M+) | $0.11 | Budget |
| 13 | Meta: Llama 4 Maverick | Meta | 1.0M Ultra context (1M+) | $0.19 | Budget |
| 14 | Meta: Llama 4 Scout | Meta | 1.3M Ultra context (1M+) | $0.18 | Budget |
| 15 | Mistral: Mistral Large 4 | Mistral AI | 1.0M Ultra context (1M+) | $0.68 | Budget |
| 16 | MoonshotAI: Kimi K3 | Moonshotai | 1.0M Ultra context (1M+) | $0.70 | Budget |
| 17 | MoonshotAI: Kimi K3 (batch) | Moonshotai | 1.0M Ultra context (1M+) | $2.28 | Standard |
| 18 | Qwen: Qwen Plus 0728 | Qwen | 1M Ultra context (1M+) | $0.26 | Budget |
| 19 | Qwen: Qwen Plus 0728 (thinking) | Qwen | 1M Ultra context (1M+) | $0.26 | Budget |
| 20 | Qwen: Qwen-Plus | Qwen | 1M Ultra context (1M+) | $0.26 | Budget |
| 21 | Qwen: Qwen3 Coder Flash | Qwen | 1M Ultra context (1M+) | $0.20 | Budget |
| 22 | Qwen: Qwen3 Coder Plus | Qwen | 1M Ultra context (1M+) | $0.65 | Budget |
| 23 | Qwen: Qwen3.5 Plus 2026-02-15 | Qwen | 1M Ultra context (1M+) | $0.26 | Budget |
| 24 | Qwen: Qwen3.5 Plus 2026-04-20 | Qwen | 1M Ultra context (1M+) | $0.30 | Budget |
| 25 | Qwen: Qwen3.5-Flash | Qwen | 1M Ultra context (1M+) | $0.07 | Budget |
Frequently asked questions
What does 'open-weight' mean?
The trained model weights are publicly downloadable and you can run them on your own hardware. Different from 'open source' which would also include training code and data — most open-weight models are not fully open source.
Related use cases
AI models for codingAI reasoning modelsAI vision modelslong-context AI models (128K+)AI models for function callingAI models for structured / JSON outputsAI models for agentsfree AI modelsCheapest AI models per tokenmultilingual AI modelsembedding modelssmall / on-device AI modelsAI image generation modelsAI voice / audio modelsAI models for mathAI models for writingAI models for RAGAI models for summarizationAI models for translationAI models for enterprise