OpenCode

2026-09-18

MODELS · 1 SOURCE · AWS Machine Learning

Moonshot AI's Kimi K3 (2.8T, 1M-token) now available on Amazon Bedrock

Moonshot AI's Kimi K3 is now available on Amazon Bedrock. Per Moonshot, Kimi K3 is the company's most capable open-weight model (2.8 trillion parameters) with native vision, a 1‑million‑token context window, and ~2.5x scaling-efficiency improvement over Kimi K2; Bedrock also supports explicit prompt caching, Responses/Chat Completions APIs, regional/global inference profiles, and AWS data protections (zero data retention and zero operator access).

7.0

2026-09-16

MODELS · 1 SOURCE · Cohere

Cohere releases North Mini Code — open-source 30B (3B active) agentic coding MoE model

Cohere has open-sourced North Mini Code, a mixture-of-experts agentic coding model sized at 30 billion parameters with 3 billion active, released under an Apache 2.0 license. The model — available on Hugging Face, OpenRouter, and Cohere's Model Vault in bf16, fp8 and w4a16 formats and compatible with OpenCode — is optimized for agentic developer workflows and reports a 33.4 score on the Artificial Analysis Coding Index, higher throughput (up to 2.8x) and ~30% better inter-token latency versus Devstral Small 2 in Cohere's tests.

8.0

2026-09-16

MODELS · 1 SOURCE · Meta AI

Meta launches Muse Spark 1.1, an agentic multimodal model with 1M‑token context

Meta Superintelligence Labs announced Muse Spark 1.1, an upgraded multimodal reasoning model optimized for agentic tasks (tool use, coding, and multimodal workflows). The model supports a 1 million‑token context window, improved multi‑agent orchestration and coding performance, is available in "Thinking" mode in the Meta AI app and on meta.ai, and is accessible to developers via a public preview of the new Meta Model API; Meta says it conducted extensive safety evaluations prior to deployment.

8.0

2026-09-10

MODELS · 1 SOURCE · DeepSeek

DeepSeek launches DeepSeek‑V4.1‑Flash with new causal encoder–decoder and lower costs

DeepSeek announced DeepSeek‑V4.1‑Flash, a smaller-native-vision model using a new Causal Encoder–Decoder design (8B active params for input, 16B for output), new pretraining and larger-scale RL post-training, plus KV‑cache compression. The company is retiring V4‑Flash variants, routing deepseek-v4-pro traffic to V4.1‑Flash from 04:00 UTC on Sept 14, 2026, and changing pricing (new rates take effect 04:00 UTC on Sept 10, 2026) while partners WorkBuddy, CodeBuddy and OpenCode already support V4.1‑Flash.

8.0

2026-04-24

MODELS · 1 SOURCE · DeepSeek

DeepSeek publishes open-source DeepSeek‑V4 preview with 1M-token context

DeepSeek has open-sourced a preview of DeepSeek‑V4, offering two variants: DeepSeek‑V4‑Pro (1.6T total / 49B active params) and DeepSeek‑V4‑Flash (284B total / 13B active params). The company says both models support a default 1M-token context, introduce novel token-wise compression and DSA (DeepSeek Sparse Attention), claim open-source state‑of‑the‑art agentic and reasoning performance (trailing only Gemini‑3.1‑Pro among models they compare to), and are available now via chat.deepseek.com and updated APIs with compatibility for OpenAI ChatCompletions & Anthropic endpoints; older models deepseek-chat and deepseek-reasoner will be retired on Jul 24, 2026 at 15:59 UTC.

8.0