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“coding”
Showing 49–72 of 83 for “coding”
- 0.681score
DeepSeek V4 Flash 0731
DeepSeek
DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total.
ModelAFreshness: A$0.44 / $1.321M ctxOpen weights - 0.681score
DeepSeek V4 Pro 0423
DeepSeek
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context…
ModelAFreshness: A$0.955 / $1.911M ctxOpen weights - 0.681score
MiniMax M2.5
MiniMax
MiniMax-M2.5 is a SOTA large language model designed for real-world productivity.
ModelAFreshness: A$0.3 / $1.2205K ctxOpen weights - 0.592score
Muse Spark 1.3 Contributor
Meta
Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic…
ModelAFreshness: A$0.1 / $0.21M ctx - 0.592score
Qwen3 Next 80B A3B Thinking
Qwen (Alibaba)
Qwen3-Next-80B-A3B-Thinking is a reasoning-first chat model in the Qwen3-Next line that outputs structured “thinking” traces by default.
ModelAFreshness: A$0.15 / $1.2262K ctxOpen weights - 0.592score
Claude Haiku 5.5
Anthropic
Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use.
ModelAFreshness: A$0.1 / $0.51M ctx - 0.592score
Claude Opus 4.5
Anthropic
Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use.
ModelAFreshness: A$5 / $25200K ctx - 0.592score
Claude Opus 4.7
Anthropic
Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents.
ModelAFreshness: A$5 / $251M ctx - 0.592score
Hy4 preview
Tencent
Tencent: Hy4 preview is a mixture-of-experts model from Tencent, with 49B active parameters out of 770B total.
ModelAFreshness: A$0.834 / $2.51M ctxOpen weights - 0.592score
Kimi K3.1 Pro
Moonshot AI
Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model and a post-trained successor to Kimi K3, with a 1M-token context window.
ModelAFreshness: A$2 / $101M ctx - 0.592score
LFM2.5-2.6B
Liquid AI
LFM2.5-2.6B is a compact reasoning model from Liquid AI.
ModelAFreshness: A$0.35 / $0.5128K ctxOpen weights - 0.592score
Mistral Large
Mistral AI
This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`).
ModelAFreshness: A$2 / $6128K ctx - 0.592score
Mistral Large 2407
Mistral AI
This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407).
ModelAFreshness: A$2 / $6131K ctx - 0.592score
Mistral Medium 3.5
Mistral AI
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI.
ModelAFreshness: A$1.5 / $7.5262K ctx - 0.592score
Qwen3.7 Flash
Qwen (Alibaba)
Qwen3.7 Flash is a vision-language reasoning model from Alibaba.
ModelAFreshness: A$0.03 / $0.131M ctx - 0.592score
Qwen3.7 Max
Qwen (Alibaba)
Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series.
ModelAFreshness: A$1.48 / $4.431M ctx - 0.587score
GLM 5.3 Flash
Z.ai
GLM-5.3-Flash is a native multimodal model from Z.ai.
ModelAFreshness: A$0.15 / $0.51M ctxOpen weights - 0.587score
Kimi K3
Moonshot AI
Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI.
ModelAFreshness: A$0.214 / $201M ctxOpen weights - 0.587score
MiniMax M3
MiniMax
MiniMax-M3 is a multimodal foundation model from MiniMax.
ModelAFreshness: A$0.3 / $1.21M ctxOpen weights - 0.587score
MiniMax M3.1 Flash
MiniMax
MiniMax-M3.1-Flash is a multimodal model from MiniMax.
ModelAFreshness: A$0.15 / $0.61M ctxOpen weights - 0.587score
Qwen3.8 27B
Qwen (Alibaba)
Qwen3.8 27B is an open-weight dense vision-language model from Qwen.
ModelAFreshness: A$0.2 / $2.51M ctxOpen weights - 0.587score
Qwen3.8 Flash
Qwen (Alibaba)
Qwen3.8 Flash is a multimodal reasoning model from Alibaba.
ModelAFreshness: A$0.15 / $0.471M ctxOpen weights - 0.577score
Flint
Recursive
Flint is an open-weight mixture-of-experts model from Recursive, with about 2.5B active parameters out of 40B total, built by Recursive's autoresearch system…
ModelAFreshness: AFree / Free262K ctxOpen weights - 0.577score
Granite 4.2 8B
IBM
Granite 4.2 8B is a dense reasoning model from IBM.
ModelAFreshness: A$0.06 / $0.25131K ctxOpen weights