All Models/GPT-5.6 Sol
OpenAI👑 Flagship

GPT-5.6 Sol

Benchmark:97.0
Speed:Standard
Training Cutoff:2026-02

Specs & Pricing

API pricing per 1M tokens and core technical specifications
📥
Input / 1M
$5.0000
📤
Output / 1M
$30.0000
⚡
Cache Price / 1M
$0.5000
📏
Context Window
1M
1,050,000 tokens
📝
Max Output
128K
128,000 tokens
🎯
Benchmark & Speed
97.0
Speed:Standard
💡
Long Context Tier (>272K): Input $10.0000 / Output $45.0000 / Cache $1.0000

Cost Calculator

Simulate estimated API usage cost based on your specific traffic and context size

Calculation Settings

Pricing Tier
▶ Detailed Settings
▶ Presets

Simulation Results

Input Cost$0.0488
Output Cost$0.09
Cache Cost$0.0110
Total$0.1498
Saved: $0.0402

Calculation Details

INPUT
10req × (976 / 1M) × $5 = $0.0488
OUTPUT
10req × (300 / 1M) × $30 = $0.09
CACHE
Write: (1,024 / 1M) × $5 × 1.25 = $0.0064 + Read: 9req × (1,024 / 1M) × $0.5 = $0.0046

Alternative Models

Models with comparable benchmark score and pricing tier
ModelProviderContext WindowMax OutputTraining CutoffInput / 1MCache Price / 1MOutput / 1MBenchmarkSpeedTotal
Anthropic👑
1M128K2026-05$5.00$0.50$25.0096.5Slow$0.1348
Anthropic
1M128K2026-01$5.00$0.50$25.0095Slow$0.1348
Anthropic
1M128K2026-01$5.00$0.50$25.0093.5Slow$0.175
OpenAI👑
1M128K2025-12$5.00$0.50$30.0093.25Standard$0.1439
Anthropic
1M128K2025-08$5.00$0.50$25.0093Slow$0.175

Provider

Anthropic👑

Benchmark

96.5

Speed

Slow

Training Cutoff

2026-05

Context Window

1M

Max Output

128K

Input / 1M

$5.00

Cache Price / 1M

$0.50

Output / 1M

$25.00

Total(試算)
In: $0.0488 / Out: $0.075
$0.1348

Provider

Anthropic

Benchmark

95

Speed

Slow

Training Cutoff

2026-01

Context Window

1M

Max Output

128K

Input / 1M

$5.00

Cache Price / 1M

$0.50

Output / 1M

$25.00

Total(試算)
In: $0.0488 / Out: $0.075
$0.1348

Provider

Anthropic

Benchmark

93.5

Speed

Slow

Training Cutoff

2026-01

Context Window

1M

Max Output

128K

Input / 1M

$5.00

Cache Price / 1M

$0.50

Output / 1M

$25.00

Total(試算)
In: $0.10 / Out: $0.075
$0.175

Provider

OpenAI👑

Benchmark

93.25

Speed

Standard

Training Cutoff

2025-12

Context Window

1M

Max Output

128K

Input / 1M

$5.00

Cache Price / 1M

$0.50

Output / 1M

$30.00

Total(試算)
In: $0.0488 / Out: $0.09
$0.1439

Provider

Anthropic

Benchmark

93

Speed

Slow

Training Cutoff

2025-08

Context Window

1M

Max Output

128K

Input / 1M

$5.00

Cache Price / 1M

$0.50

Output / 1M

$25.00

Total(試算)
In: $0.10 / Out: $0.075
$0.175
⚡ Main Feature

All AI Models Pricing & Cost Simulator

Compare cutting-edge models from OpenAI, Anthropic, Google, and DeepSeek. Accurately simulate real-world API costs with prompt caching and custom context length.

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GPT-5.6 Sol Frequently Asked Questions (FAQ)

Key insights into GPT-5.6 Sol API pricing, context capacity, caching savings, and performance benchmarks

Q. What is the API pricing for GPT-5.6 Sol? How much does it cost per 1M tokens?+

GPT-5.6 Sol (OpenAI) is priced at $5.0000 per 1 million input tokens and $30.0000 per 1 million output tokens. The output rate is approximately 6.0x higher than the input rate. You can simulate your exact monthly API expenses tailored to your request volume and token length using the calculator above.

Q. What are the context window and maximum output limits of GPT-5.6 Sol?+

GPT-5.6 Sol features a 1M context window and a maximum output limit of 128K tokens per request. This massive 1M+ context capacity allows you to process extensive document libraries or entire codebases in a single prompt.

Q. Does GPT-5.6 Sol support Prompt Caching, and how much cost can be saved?+

Yes, GPT-5.6 Sol supports prompt caching. Cached reads cost $0.5000 per 1M tokens, delivering an estimated 90% discount compared to standard input rates. (Minimum cache threshold: 1K) Caching reusable system instructions and documentation substantially lowers recurring API expenses.

Q. What is the benchmark score (97) and performance profile of GPT-5.6 Sol?+

GPT-5.6 Sol achieves an overall benchmark score of 97/100 with a "Standard" speed rating. It serves as a premier flagship model suited for complex reasoning, autonomous agents, and advanced coding.

Q. Which alternative models are comparable to GPT-5.6 Sol?+

Key alternatives in similar price-to-performance tiers include Claude Opus 5, Claude Opus 4.8, Claude Opus 4.7. We recommend comparing them based on your latency targets, context window needs, and prompt caching benefits using the full comparison tool on this site.