Strategic Benchmarking for frontier models in 2026. Optimized for API Cost Reduction.
| Model Signature | Input | Output | Context | Capabilities | |
|---|---|---|---|---|---|
GPT-5.2 Agentic Powerhouse | $1.75 | $14.00 | 400K | TextCodeAgenticVisionAudio | |
DeepSeek V3.2 Best Value | $0.28 | $0.42 | 160K | TextCodeAgentic | |
GLM 4.6 | $0.55 | $2.19 | 131K | AgenticTextCode | |
GPT-5 mini | $0.25 | $2.00 | 128K | TextCode | |
Claude 4.5 Opus PhD Reasoning | $5.00 | $25.00 | 200K | TextCodeVisionAgentic | |
Gemini 3 Pro Multimodal King | $2.00 | $12.00 | 1M | TextVisionVideoAudioCode | |
GPT-5.1 | $1.25 | $10.00 | 400K | TextCodeAgenticVision | |
Claude 4.5 Haiku | $1.00 | $5.00 | 200K | TextCode | |
Claude 4.5 Sonnet | $3.00 | $15.00 | 200K | TextCodeVision | |
Gemini 2.5 Pro | $1.25 | $10.00 | 1.5M | TextVisionVideoCode | |
Grok 4 | $3.00 | $15.00 | 1M | TextSearchVision | |
GPT-OSS 120B Local Legend | $0.10 | $0.50 | 128K | TextCodeVision | |
Qwen 3 Coder Coding King | $0.10 | $0.10 | 256K | CodeText | |
Llama 4 Scout Context Monster | $0.08 | $0.30 | 10M | TextCode | |
Gemini 2.0 Flash | $0.15 | $0.60 | 1M | TextVision | |
Mistral Large 2.1 | $2.00 | $6.00 | 128K | TextCode |
Navigate the frontier of model specialization. Track current category leaders, verified SOTA records, and critical benchmarks across the industry's four primary domains.
The 2026 standard has moved beyond GPT-o3. The current leader, GPT-5.2 Thinking, utilizes a massive "test-time compute" architecture to self-correct scientific reasoning in real-time. It is the first model to achieve a perfect score on competition-level mathematics ( AIME ).
In late 2025, Claude 4.5 Opus became the first model to break the 80% barrier on SWE-bench Verified . The focus in 2026 is no longer just "writing code" but "autonomous agentic project management," where the model can refactor 50+ files at once while maintaining architectural integrity.
Gemini 3 Pro maintains the lead in the context wars, offering a native 1M to 2M token window that acts as an "infinite memory" for monorepos and legal archives. Its recall accuracy remains near-perfect even at the edge of its context window, making it the primary choice for deep RAG .
The "Operational" category in 2026 is dominated by throughput. GPT-5.2 Standard has achieved an inference speed of nearly 200 tokens per second, making it the engine of choice for real-time voice-to-voice and video agents. It balances high intelligence (MMLU-Pro) with the lowest latency in its class.