โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Claude 3.5 Haiku vs DeepSeek V4 Pro

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Claude 3.5 Haiku and DeepSeek V4 Pro.

Anthropic

Claude 3.5 Haiku

Claude 3.5 Haiku is the fast, cost-efficient member of the Claude 3.5 model family from Anthropic, built to deliver strong performance for coding, text processing, and multi-turn conversation at minimal inference cost. With a 200,000-token context window and pricing at $0.80/MTok for input, it is optimized for high-throughput, latency-sensitive production applications such as real-time chat interfaces, code completion tools, and classification systems. While smaller than its Sonnet and Opus siblings, Claude 3.5 Haiku retains Anthropic's strong alignment and safety properties, making it a reliable choice for consumer-facing AI features.

View Full Specs
DeepSeek

DeepSeek V4 Pro

DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...

View Full Specs

Technical Specifications

SpecificationClaude 3.5 HaikuDeepSeek V4 Pro
ProviderAnthropicDeepSeek
Context Window200,000 tokens1,048,576 tokens
Agent SuitabilityN/A94/100
Time to First Token (TTFT)N/A280 ms
Deployment ModelN/Amanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-11-042026-04-24

API Pricing Comparison

Input Price per Million Tokens

Claude 3.5 Haiku

$0.80

DeepSeek V4 Pro

$0.43

Output Price per Million Tokens

Claude 3.5 Haiku

$4.00

DeepSeek V4 Pro

$0.87

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
7520.0%vs8850.0%
Claude 3.5 Haiku
DeepSeek V4 Pro
HumanEvalPython coding & logic synthesis
8810.0%vs8900.0%
Claude 3.5 Haiku
DeepSeek V4 Pro
MATHComplex mathematical problem solving
5160.0%vs7460.0%
Claude 3.5 Haiku
DeepSeek V4 Pro
GPQAGraduate-level expert reasoning
4150.0%vs4900.0%
Claude 3.5 Haiku
DeepSeek V4 Pro
HellaSwagCommonsense reasoning and inference
8920.0%vs8750.0%
Claude 3.5 Haiku
DeepSeek V4 Pro
MT-BenchMulti-turn conversation flow quality
850.0%vs918.0%
Claude 3.5 Haiku
DeepSeek V4 Pro

Claude 3.5 Haiku Quirks & Gotchas

No developer gotchas reported.

DeepSeek V4 Pro Quirks & Gotchas

  • โ–ธMoE architecture โ€” cold-start latency on first request, use keep-alive
  • โ–ธBest cost-performance ratio of any frontier model โ€” strong tool calling for agentic use