Alternatives to DeepSeek V4 Pro 0813

DeepSeek small agent model: 284B/13B MoE, 1M context, MIT weights, $0.14/$0.28 per 1M tokens.

DeepSeek-V4.1-Flash is a MIT 552B multimodal MoE with 8B/16B activation, 1M context, and about 1/4 the KV cache of V4-Flash.

Agnes-3.0-Flash Preview is an Apache-2.0 33B multimodal open-weight checkpoint with 262k context, not the proprietary API model.

DeepSeek V4 represents the next generation of DeepSeek's flagship AI models, building upon the success of V3 with enhanced capabilities in reasoning, multimodal processing, and agent-based interactions.

SpaceXAI's Grok 4.7 flagship for coding and agents: 500K context, $1.60/$4.80 per 1M tokens, 46.4 on the Artificial Analysis index.

Liquid AI's open-weight 24B reasoning MoE with 2.45B active parameters, 128K context, and tool calling for local agents.

Meituan's open-weight MoE model: 1.6T total / ~48B active params, 1M context, MIT. Strong on coding and agentic tasks (2026-08-25).

BAAI's 27B open-weight agent model for long-horizon self-improvement: reflect, measure, and revise across coding, ML engineering, and deep research with a 262K context.

Anthropic's frontier Opus model with 1M-token context and effort-controlled reasoning, near-Fable-5 intelligence at Opus-4.8 pricing for agents and coding.

An open-source multilingual multimodal chat model from Zhipu AI with advanced thinking capabilities, exceptional coding performance, and enhanced UI generation.

OpenAI GPT-6 Luna: the cheapest GPT-6 tier at $0.10/$0.50 per 1M tokens with a 1.05M context window and max-effort reasoning.

Xiaomi's MiMo-V2.6 open-weights series pairs a 1.02T-parameter omni MoE with a 309B Flash tier, both MIT licensed with 1M-token context.

Mistral Large 4 is Mistral's public-preview multimodal MoE model with a 1M-token context window and open weights planned for release.

XHToken's efficient 4B open-weight model: hybrid sliding-window attention for native 1M-token context, strong coding and agent performance, Apache 2.0, multilingual.