
MAI-Code-1-Flash
Microsoft's first in-house coding model, a 137B sparse MoE built natively for GitHub Copilot, beating Claude Haiku 4.5 on SWE-Bench Pro by 16 points.
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AI Benchmarks & Tools Analyst
James is a software engineer turned tech writer who spent six years building backend systems at a fintech startup in Chicago before pivoting to full-time analysis of AI tools and infrastructure. His engineering background means he doesn't just read the spec sheet - he runs the benchmarks, profiles the latency, and checks whether the marketing claims hold up under real workloads.
He studied Computer Science at the University of Illinois at Urbana-Champaign, where he first got hooked on natural language processing during a senior research project on sentiment analysis. He later completed a certificate in data journalism from Northwestern's Medill School.
At Awesome Agents, James owns the leaderboards and tool comparison coverage. He maintains the site's benchmark tracking methodology and is the person who actually runs the numbers before publishing any ranking. He is also an open-source advocate and contributes to several projects in the LLM inference space.
Based in Chicago, IL.

Microsoft's first in-house coding model, a 137B sparse MoE built natively for GitHub Copilot, beating Claude Haiku 4.5 on SWE-Bench Pro by 16 points.

Verified June 8: Ministral 3B cheapest at $0.04/MTok, DeepSeek V4 Flash best value at $0.14, Claude Opus 4.8 Fast Mode cut to $10/$50, Mistral Large 3 corrected to $0.50/$1.50.

Mistral AI's mid-tier open-weight edge model - 8B parameters, 256K context, Apache 2.0 license, built for agentic pipelines and cost-sensitive production workloads.

Mistral's open-weight coding agent model - 123B parameters, 256K context window, 72.2% on SWE-bench Verified, priced at $0.40/M input tokens.

Grok Build 0.1 is xAI's first model built specifically for agentic coding workflows, with a 256K context window, native MCP support, and always-on reasoning at $1/M input tokens.

Mistral AI's largest Ministral 3 model - 14B parameters, 256K context, Apache 2.0 license, multimodal, built for local deployment and agentic workflows.

NVIDIA's 550B open-weight MoE model with 55B active parameters, hybrid Mamba-Transformer architecture, and 1M token context - the top-scoring US open model on the Artificial Analysis Intelligence Index.

MiniMax M3 is an open-weight frontier model with a 1M-token context window, native multimodal input, and strong agentic coding at $0.60/M input tokens.

Gemini 2.5 Flash Lite still leads the Vectara hallucination leaderboard at 3.3%, while two new entries - Gemini 3.5 Flash and Mistral Large 3 at $0.50/M - shift the value picture considerably since March.

Meta's Llama 3.3 70B Instruct matches Llama 3.1 405B on instruction following and math while running at 4-5x lower cost, with the lowest hallucination rate of any open-weight model on the Vectara summarization leaderboard.

A benchmark-driven comparison of Claude Code, Kiro, Devin, OpenAI Codex, Windsurf, and OpenHands - the six coding agents worth using in 2026.

Complete benchmark and pricing comparison of Claude Opus 4.8 vs GPT-5.5 for coding, agents, and knowledge work in 2026.