Compare models, price, context, and benchmarks

Compare GPT-5.5, Claude, Gemini, Grok, DeepSeek, and Qwen models side by side by API price, context, benchmark signal, capabilities, and scenario cost.

Comparison matrixLLM Table

Models to compare2/4

Model 1

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Model 2

Select model366 models

Anthropic: Claude Opus 4.7

Claude API

Cheapest (this scenario)

Input

$5.00 / 1M

Output

$25.00 / 1M

Context

1MLargest context

Monthly cost

$1,250.00

Benchmark

1,503Top benchmarkLMArena Text Arena

VisionToolsReasoningLong context

Anthropic: Claude Opus 4.6

OpenRouter

Cheapest (this scenario)

Input

$5.00 / 1M

Output

$25.00 / 1M

Context

1MLargest context

Monthly cost

$1,250.00

Benchmark

1,502LMArena Text Arena

VisionToolsJSONReasoningLong context

Anthropic: Claude Opus 4.7

Claude API

Anthropic: Claude Opus 4.6

OpenRouter

Input

$5.00 / 1MCheapest (this scenario)

Output

$25.00 / 1MCheapest (this scenario)

Context

1MLargest context

Benchmark

1,503Top benchmark

LMArena Text Arena

1,502

LMArena Text Arena

Monthly cost

$1,250.00Cheapest (this scenario)

Capabilities

VisionToolsReasoningLong context

VisionToolsJSONReasoningLong context

FAQ

Model comparison notes

What should I compare first?

Start with scenario cost, context window, benchmark signal, and required capabilities such as tools, JSON output, reasoning, vision, or audio.

Why can the cheapest model be a poor fit?

Low token price does not guarantee enough context, output limit, quality, or tool support. The comparison table keeps cost and capability signals visible together.

Are route prices directly comparable?

They are useful directional comparisons, but direct provider APIs and aggregator routes can have different terms, limits, and billing details.

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