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Comparing GPT-5.6 Terra at $2.50/$15 per million tokens versus GPT-5.5 at $5/$30—a flat 2.0x cost reduction with unproven capability parity.
Picking an AI model? Don't default to the biggest. Use 3 questions (task, volume, stakes) plus a free finder that ranks 100+ models across 15 use cases.
Claude Sonnet 5 lists $2/$10 vs Opus 4.8 $5/$25, 60% cheaper. It trails 63.2% to 69.2% on SWE-bench Pro, and agentic cost can top Opus. Which to pick.
GPT-5.4 costs about 3.3x more than GPT-5.4 Mini at current OpenAI list pricing. The honest task-by-task comparison: where mini handles the w
GPT-5.4, Claude Opus 4.6, and Gemini 3.1 Pro all dropped within weeks. Each is best at something different. Here's why that changes how you
Qwen 3.7 Max-Preview launched May 19, 2026 with a 1M-token context, native Anthropic Messages protocol, $2.50/$7.50 per million tokens, and a 90% cached-input discount ($0.25/M).
As of May 2026, no single model wins every axis. GPT-5.5 leads coding at 88.7%, Claude Opus 4.7 and Gemini 3.1 Pro tie for reasoning, and DeepSeek V4 Pro dominates cost-quality.
Four free LLM API tiers matter for coding in May 2026: DeepSeek, Gemini, xAI Grok, and AWS Bedrock ranked by practical utility.
Google announced its flagship at I/O 2026 and then told the audience to wait a month for it. The Flash model that shipped instead is already outscoring the previous-generation Pro on coding benchmarks.
Qwen 3.6 Plus lands within two points of Claude Opus 4.6 on SWE-bench Verified (78.8% vs. 80.8%) at 1/30th the input price, with a 1M-token native context
There is no single best coding LLM in 2026. The article provides a task-specific decision matrix comparing six models across ten real coding sub-tasks.
On three reasoning tasks, Claude Opus 4.6 produced rigorous step-by-step output, GPT-5.5 reached correct answers fastest, and Gemini 3.1 Pro delivered comparable depth at one-third the price.