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

Claude 3.5 Haiku vs Qwen3.7 Plus

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 Qwen3.7 Plus.

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
Alibaba

Qwen3.7 Plus

Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensive upgrade to its...

View Full Specs

Technical Specifications

SpecificationClaude 3.5 HaikuQwen3.7 Plus
ProviderAnthropicAlibaba
Context Window200,000 tokens1,000,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment ModelN/Aself hostable
Production Stabilitystablebeta
API AvailableYesYes
Released Date2024-11-042026-06-03

API Pricing Comparison

Input Price per Million Tokens

Claude 3.5 Haiku

$0.80

Qwen3.7 Plus

$0.32

Output Price per Million Tokens

Claude 3.5 Haiku

$4.00

Qwen3.7 Plus

$1.28

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%vs8820.0%
Claude 3.5 Haiku
Qwen3.7 Plus
HumanEvalPython coding & logic synthesis
8810.0%vs9250.0%
Claude 3.5 Haiku
Qwen3.7 Plus
MATHComplex mathematical problem solving
5160.0%vs8100.0%
Claude 3.5 Haiku
Qwen3.7 Plus
GPQAGraduate-level expert reasoning
4150.0%vs5400.0%
Claude 3.5 Haiku
Qwen3.7 Plus
HellaSwagCommonsense reasoning and inference
8920.0%vs8950.0%
Claude 3.5 Haiku
Qwen3.7 Plus
MT-BenchMulti-turn conversation flow quality
850.0%vs925.0%
Claude 3.5 Haiku
Qwen3.7 Plus

Claude 3.5 Haiku Quirks & Gotchas

No developer gotchas reported.

Qwen3.7 Plus Quirks & Gotchas

No developer gotchas reported.