#coding AI

GPT-5.4 Nano at $0.20 per million input tokens is OpenAI's cheapest model. API-only, designed for classification, extraction, and subagents.

Mistral Small 4 packs 119B parameters (6B active via MoE) with 256K context under Apache 2.0. Unified model for reasoning, vision, and coding.

Gemini 3.1 Pro scores 77.1% on ARC-AGI-2 and 2887 Elo on LiveCodeBench at $2/$12M tokens. Full benchmarks, pricing, and competitive comparison guide.

Gemini 3.1 Pro vs Claude Opus 4.6 vs GPT-5.3-Codex for agentic coding. SWE-Bench, Terminal-Bench, LiveCodeBench, and pricing comparison with recommendations.

GPT-5.3-Codex-Spark delivers 1,000+ tokens/sec on Cerebras hardware with 77.3% Terminal-Bench. Benchmarks, speed-accuracy tradeoffs, and developer guide.

Claude Sonnet 4.6 scores 72.5% on OSWorld and 79.6% on SWE-bench Verified at $3/$15M tokens. Complete benchmarks, coding, computer use, and pricing guide.

DeepSeek V4 brings 1 trillion parameters, 1M token context, and Engram O(1) memory. Architecture details, leaked benchmarks, and what it means for developers.

Gemini 3 Flash delivers 78% SWE-bench at $0.50/1M tokens—1/4 the cost of Pro. Developer guide covering 1M context, thinking levels, and API integration.

Xiaomi's MiMo-V2-Flash: 309B open-weight MoE running 150 tok/s with 73.4% SWE-Bench. Deploy the fastest open-source coding model with this guide.

Master Claude Opus 4.5: 80.9% SWE-bench, Memory Tool, self-improving agents. Complete guide with pricing and API integration.

Compare Claude Sonnet 4.5 vs GPT-5 Pro with launch-era benchmarks, pricing, coding use cases, API availability, and April 2026 model-selection context.