Key Pricing Insights:

• The Price/Performance King: DeepSeek V4-Pro's permanent discounted rate of $0.435/$0.87 makes it roughly 12x cheaper than GPT-5.5 Standard and nearly 30x cheaper than Claude Opus 4.8 for output. DeepSeek V4-Flash is even more extreme at $0.14/$0.28 .
• Holding the Line: Anthropic kept Claude Opus 4.8 pricing flat at $5/$25, the same as its predecessor . Its new Fast Mode is now 3x cheaper than before at $10/$50, making high-speed agentic loops more economical .
• The Premium Tier: GPT-5.5 remains the most expensive model in standard mode, but its Pro tier at $30/$180 is in a league of its own, reserved for the most complex reasoning tasks .
• The New "Flash" Premium: Google's Gemini 3.5 Flash is no longer a budget model. Priced at $1.50/$9.00, it's a 3x increase over the previous Flash generation, placing it on par with dedicated reasoning models .

Benchmark Deep Dive: What the Numbers Reveal

Benchmarks are only useful with context. We've organized the results by what they actually measure—general intelligence, coding ability, and agentic performance—rather than a single, often misleading, composite score.

General Intelligence & Reasoning

This category measures raw knowledge, math, and scientific reasoning.

Claude Opus 4.8 has opened a small but significant gap over GPT-5.5 in general intelligence, backed by a massive 27.4-point jump in math performance compared to its predecessor . Qwen3.7-Max stands out as the top Chinese model, nearly matching the leaders in graduate-level science reasoning (GPQA Diamond) .

Software Engineering & Coding

The most relevant benchmarks for developers.

Coding performance creates a clear segmentation. Claude Opus 4.8 and GPT-5.5 are tied at the very top for general bug-fixing (SWE-bench Verified), but Claude takes a commanding 10+ point lead on the much harder Pro set . For pure coding efficiency per dollar, DeepSeek V4-Pro is unmatched, offering GPT-5.4-class coding performance at a 30x discount .

Agentic & Tool-Use Performance

A model's ability to act independently in a real environment.

GPT-5.5 holds its crown as the strongest model for open-ended terminal-based agent work, but Claude Opus 4.8's superior real-world task rating (GDPval-AA Elo) suggests a more reliable, business-ready agentic partner . Grok 4.3 offers a compelling budget option for high-volume, instruction-following tasks .

The Chinese Model Surge

For the first time, Chinese models are not just competing on price but on capability. Qwen3.7-Max leads all models on the SWE-bench Pro agentic coding benchmark at 60.6% . Kimi K2.6 matches GPT-5.5's performance on that same test and leads all other models on Humanity's Last Exam (HLE) with tools at 54.0% , challenging the American frontier on core reasoning tasks while dramatically undercutting them on price.

Critical Caveats Before You Choose

A direct, full comparison across all seven models is currently impossible due to selective benchmark reporting by vendors . Several key factors undermine a purely numbers-driven choice:

• Verbosity Adds Hidden Cost: Token price is not total cost. Qwen3.7-Max is noted to be exceptionally verbose in evaluation runs, generating 97M tokens versus a 24M median, which directly inflates your bill .
• Benchmark Inflation: Vendors select favorable evaluation settings. For example, GPT-5.5's listed SWE-bench Verified score can vary with the "thinking effort" setting applied .
• Real Cost of Intelligence: Artificial Analysis offers a useful "cost to run index" metric. Running their full test suite on Gemini 3.5 Flash costs $1,551.60, making it more expensive than the more capable Gemini 3.1 Pro Preview ($892.28), despite its lower per-token price .

The Verdict: Which Model is Right for You?

Your priority should dictate your pick:

• Absolute Best Quality (Coding & Math): Claude Opus 4.8 is the new benchmark king and the safest bet for work where a mistake is costly .
• Best Price-to-Performance Frontier: DeepSeek V4-Pro delivers unbeatable coding value, while Kimi K2.6 offers the best raw reasoning for the dollar .
• Fast, Reliable Agentic Workloads: Gemini 3.5 Flash is now Google's strongest coding model and runs 4x faster than typical frontier models, making it ideal for real-time agent loops .
• Budget Frontier Intelligence: Grok 4.3 at $1.25/$2.50 is the best price for a fully-featured US-built frontier model from a major provider .
• Agentic Coding with Massive Context: Qwen3.7-Max is the best choice for developers comfortable with a 1M context window who need top-tier agentic coding performance at a moderate price .

For any critical deployment, run tests on your own specific workload. Vendor-reported benchmarks provide a useful starting point, not a definitive answer.

Key Pricing Insights:

• The Price/Performance King: DeepSeek V4-Pro's permanent discounted rate of $0.435/$0.87 makes it roughly 12x cheaper than GPT-5.5 Standard and nearly 30x cheaper than Claude Opus 4.8 for output. DeepSeek V4-Flash is even more extreme at $0.14/$0.28 .
• Holding the Line: Anthropic kept Claude Opus 4.8 pricing flat at $5/$25, the same as its predecessor . Its new Fast Mode is now 3x cheaper than before at $10/$50, making high-speed agentic loops more economical .
• The Premium Tier: GPT-5.5 remains the most expensive model in standard mode, but its Pro tier at $30/$180 is in a league of its own, reserved for the most complex reasoning tasks .
• The New "Flash" Premium: Google's Gemini 3.5 Flash is no longer a budget model. Priced at $1.50/$9.00, it's a 3x increase over the previous Flash generation, placing it on par with dedicated reasoning models .

Benchmark Deep Dive: What the Numbers Reveal

Benchmarks are only useful with context. We've organized the results by what they actually measure—general intelligence, coding ability, and agentic performance—rather than a single, often misleading, composite score.

General Intelligence & Reasoning

This category measures raw knowledge, math, and scientific reasoning.

Claude Opus 4.8 has opened a small but significant gap over GPT-5.5 in general intelligence, backed by a massive 27.4-point jump in math performance compared to its predecessor . Qwen3.7-Max stands out as the top Chinese model, nearly matching the leaders in graduate-level science reasoning (GPQA Diamond) .

Software Engineering & Coding

The most relevant benchmarks for developers.

Coding performance creates a clear segmentation. Claude Opus 4.8 and GPT-5.5 are tied at the very top for general bug-fixing (SWE-bench Verified), but Claude takes a commanding 10+ point lead on the much harder Pro set . For pure coding efficiency per dollar, DeepSeek V4-Pro is unmatched, offering GPT-5.4-class coding performance at a 30x discount .

Agentic & Tool-Use Performance

A model's ability to act independently in a real environment.

GPT-5.5 holds its crown as the strongest model for open-ended terminal-based agent work, but Claude Opus 4.8's superior real-world task rating (GDPval-AA Elo) suggests a more reliable, business-ready agentic partner . Grok 4.3 offers a compelling budget option for high-volume, instruction-following tasks .

The Chinese Model Surge

For the first time, Chinese models are not just competing on price but on capability. Qwen3.7-Max leads all models on the SWE-bench Pro agentic coding benchmark at 60.6% . Kimi K2.6 matches GPT-5.5's performance on that same test and leads all other models on Humanity's Last Exam (HLE) with tools at 54.0% , challenging the American frontier on core reasoning tasks while dramatically undercutting them on price.

Critical Caveats Before You Choose

A direct, full comparison across all seven models is currently impossible due to selective benchmark reporting by vendors . Several key factors undermine a purely numbers-driven choice:

• Verbosity Adds Hidden Cost: Token price is not total cost. Qwen3.7-Max is noted to be exceptionally verbose in evaluation runs, generating 97M tokens versus a 24M median, which directly inflates your bill .
• Benchmark Inflation: Vendors select favorable evaluation settings. For example, GPT-5.5's listed SWE-bench Verified score can vary with the "thinking effort" setting applied .
• Real Cost of Intelligence: Artificial Analysis offers a useful "cost to run index" metric. Running their full test suite on Gemini 3.5 Flash costs $1,551.60, making it more expensive than the more capable Gemini 3.1 Pro Preview ($892.28), despite its lower per-token price .

The Verdict: Which Model is Right for You?

Your priority should dictate your pick:

• Absolute Best Quality (Coding & Math): Claude Opus 4.8 is the new benchmark king and the safest bet for work where a mistake is costly .
• Best Price-to-Performance Frontier: DeepSeek V4-Pro delivers unbeatable coding value, while Kimi K2.6 offers the best raw reasoning for the dollar .
• Fast, Reliable Agentic Workloads: Gemini 3.5 Flash is now Google's strongest coding model and runs 4x faster than typical frontier models, making it ideal for real-time agent loops .
• Budget Frontier Intelligence: Grok 4.3 at $1.25/$2.50 is the best price for a fully-featured US-built frontier model from a major provider .
• Agentic Coding with Massive Context: Qwen3.7-Max is the best choice for developers comfortable with a 1M context window who need top-tier agentic coding performance at a moderate price .

For any critical deployment, run tests on your own specific workload. Vendor-reported benchmarks provide a useful starting point, not a definitive answer.