Tutorials, deep dives and product notes — built for developers.
GPT-5.6 Luna vs DeepSeek V4 Pro: a sourced comparison of coding, 1M context, reasoning modes, MIT weights, caching, pricing, tools and deployment economics.
GPT-5.6 Luna vs GLM 5.2 compared across coding, reasoning, long context, tools, pricing, licensing and deployment. After Luna's permanent 80% price cut, Luna has the stronger managed capability and economics package; GLM 5.2 brings MIT weights and openness.
GPT-5.6 Terra vs Claude Sonnet 5: nearly identical standard output pricing, 1M+ context, and a close SWE-bench Pro result—yet sharply different terminal scores, tooling, availability, and intro pricing.
Hy3 (295B MoE, Apache 2.0, $0.80/1M) vs GPT-5.5 (proprietary, $30/1M). GPT-5.5 leads coding (+11-42 pts), but Hy3 fights back on agents: wins MCP Atlas (+3.8), edges HLE w/tools (+1.0), near-ties BrowseComp (84.2 vs 84.4). All at 1/37th the cost. 5 charts, full breakdown.
Hy3 (295B MoE, Apache 2.0, $0.80/1M) vs GLM 5.2 (753B MoE, MIT, $4.40/1M). GLM 5.2 wins every coding benchmark by 4-18 points. Hy3 counters with MCP Atlas #1 open-weight (79.1%), BrowseComp 84.2%, DeepSearchQA 91.0%, 47% fewer tokens, and 5.5× cheaper. Full comparison with 5 charts and a 10-point verdict.
Claude Fable 5 (80.3% SWE-bench Pro, $50/1M) vs Claude Sonnet 5 (63.2%, $15/1M). Fable 5 leads all 8 shared benchmarks by +8.2 pts avg — but Sonnet 5 delivers 79% of the capability at 30% of the price. Full comparison with 4 custom charts, pricing deep-dive, tokenizer analysis, and a 10-point verdict matrix.
Claude Opus 4.8 (69.2% Pro, $25/1M) dominates every benchmark vs Kimi K2.6 (58.6%, $4/1M) by 3-11 pts. But Kimi fights back on BrowseComp (-3.9), Agent Swarm (300 sub-agents), DeepSearchQA (92.5%), and is 6.25× cheaper. Full comparison with real benchmark data, 10-point verdict.
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.
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.
The complete Claude Fable 5 review. Mythos-class for everyone. 80.3% Pro, 88.0% Terminal-Bench, 93.9% Verified. Stripe's 50M-line migration in a day. Karpathy: "major-version-bump-deserving." Simon Willison: "a beast." Safety classifiers, $10/$50 pricing, and why this is the biggest step toward AGI yet.
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.