Tutorials, deep dives and product notes — built for developers.
Qwen 3.7 Max (60.6% SWE-bench Pro, $7.50/1M, Anthropic API compatible) vs Kimi K2.6 (58.6%, $4.00/1M, 300 sub-agent swarms). Qwen leads all 6 shared benchmarks — but Kimi counters with open-weight, BrowseComp Agent Swarm (86.3%), and HLE w/tools (54%). Full comparison with real benchmark data.
GPT-5.5 dominates agentic coding (+14.2 Terminal-Bench, +4.4 SWE-bench Pro). Gemini 3.1 Pro wins on price (2.5× cheaper), reasoning (GPQA 94.3%), and multimodal breadth. Real benchmarks, pricing analysis, and a 9-point decision matrix for choosing the right enterprise model.
MiniMax M3 (59.0% Pro, $1.20/1M, 1M ctx) vs GLM 5.1 (58.4%, $4.40/1M, 200K ctx). Both Huawei Ascend, both MIT, both Chinese. 0.6 pts apart on Pro. M3 leads context + multimodal. GLM leads reasoning + CyberGym #1 + pure MIT + $3/mo plan. Full comparison.
MiniMax M3 (59.0% SWE-bench Pro, $1.20/1M) beats GPT-5.5 (58.6%, $30/1M) on the hardest coding benchmark at 25× less cost. But GPT-5.5 dominates Terminal-Bench (+16.7), OSWorld (+8.7), GPQA and HLE. 1M context, native video, MSA architecture, open-weight vs proprietary. Full comparison.
Anthropic's new Mythos-class Fable 5 (80.3% SWE-bench Pro, $50/1M) vs the outgoing flagship Opus 4.8 (69.2%, $25/1M). Fable 5 dominates every benchmark — but costs 2× more, hallucinates more, and sometimes falls back to Opus 4.8 anyway. Full 30-benchmark comparison.
Claude Fable 5 ($50/1M) vs GPT-5.5 ($30/1M). Fable 5 leads all 8 coding benchmarks (+11.8 avg). GPT-5.5 counters with lower price and Batch/Flex at $15. 5× better Pro value from Fable 5. The definitive head-to-head comparison.
Claude Fable 5 ($50/1M) vs GPT-5.5 Pro ($180/1M). Fable 5 leads all 8 coding benchmarks by +11.8 pts avg. GPT-5.5 Pro fights back on BrowseComp (90.1%) and FrontierMath (39.6%) via parallel compute — but has no published Pro coding scores. Updated with separate GPT-5.5 Pro benchmarks.
DeepSeek V4 Flash ($0.28/1M, MIT) vs Gemini 3 Flash ($3.00/1M). Flash leads Pro (+3.0), GPQA (+6.9), MCP Atlas (+7.0). Gemini leads OSWorld (65.1%), multimodal input, and Toolathlon. 10.7× price gap. Two Flash-tier models, zero overlap.
Interactive pricing calculator comparing 29 AI coding models. Enter monthly tokens, adjust input/output ratio, toggle caching. Claude Fable 5 added at $10/$50. Updated June 9, 2026.
Qwen 3.7 Max leads 5/6 coding benchmarks including SWE-bench Pro (60.6% vs 55.4%). But DeepSeek V4 Pro dominates algorithmic coding (LiveCodeBench 93.5%, Codeforces 3206), is MIT-licensed and self-hostable, and costs 2.2× less ($3.48 vs $7.50/1M). Proprietary agent powerhouse vs open-weight algorithmic specialist.
The two best open-weight coding models in the world. MiniMax M3: 59.0% SWE-bench Pro (#1 open-weight), 1M context, native video, $1.20/1M. Kimi K2.6: 58.6% Pro, Agent Swarm (300 sub-agents, 4,000 steps), HLE leader (54%), $4.00/1M. Just 0.4 points apart on Pro but 3.3× price gap. Full benchmark comparison.
Qwen 3.7 Max beats GPT-5.5 on SWE-bench Pro (60.6% vs 58.6%) — the hardest coding benchmark. Costs 4x less. But GPT dominates Terminal-Bench, DeepSWE, and ARC-AGI-2. Full comparison.