Model Comparison

V3 (Dec '24)
vs. Claude Opus 5.5 (Max, Default Fallback)

Comparing 2 AI models · 0 benchmarks · DeepSeek, Anthropic

Recommended Pick

V3 (Dec '24)6 metric wins

Strongest on: Value, Input price, Output price

Best Value

V3 (Dec '24)

100.0 value score

8.5 reasoning / $0.46/1M

Lowest Price

V3 (Dec '24)

$0.32/1M input price

Best Reasoning

Claude Opus 5.5 (Max, Default Fallback)

57.6 reasoning score

Blends available reasoning benchmarks

Best for Coding

V3 (Dec '24)

23.0 coding index

Differences That Matter

Best value

V3 (Dec '24) has the strongest quality-to-price mix at 100.0 out of 100 value points.

Price gap

V3 (Dec '24) is 12.5x cheaper on input tokens than Claude Opus 5.5 (Max, Default Fallback).

Speed gap

Claude Opus 5.5 (Max, Default Fallback) generates about 2.6x as many tokens per second as V3 (Dec '24).

Reasoning gap

Claude Opus 5.5 (Max, Default Fallback) leads V3 (Dec '24) by 49.1 points on reasoning.

Top-pick rationale

V3 (Dec '24) wins 6 measurable categories, including Value, Input price, Output price, Blended price.

Live compare

Response Face-Off

Run one prompt through the selected models and compare response quality with live speed and cost context.

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V3 (Dec '24)

DeepSeek

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Claude Opus 5.5 (Max, Default Fallback)

Anthropic

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Full Comparison

Metric	Top Pick De V3 (Dec '24) DeepSeek	An Claude Opus 5.5 (Max, Default Fallback) Anthropic
Pricing per 1M tokens
Input Cost	$0.32/1M	$4.00/1M
Output Cost	$0.89/1M	$20.00/1M
Blended (3:1)	$0.46/1M	$8.00/1M
Specifications
Organization	DeepSeek	Anthropic
Release Date	Dec 26, 2024	Sep 22, 2026
Performance & Speed
Throughput	37.0 tok/s	95.2 tok/s
TTFT	1250ms	666740ms
Latency	1250ms	666740ms
Composite Indices
Value Score	100.0	39.2
Reasoning Score	8.5	57.6
Intelligence	8.5	57.6
Coding	23.0	—

Key Takeaways

V3 (Dec '24) offers the best value at $0.32/1M,making it ideal for high-volume applications and cost-conscious projects.

Claude Opus 5.5 (Max, Default Fallback) has the strongest reasoning profile with a 57.6 reasoning score,combining the available reasoning-heavy benchmarks.

V3 (Dec '24) reaches a 23.0 coding index,making it the top choice for software development and code generation tasks.

All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.