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Claude Haiku 4.5 vs Qwen3-Next-80B-A3B-Instruct

Claude Haiku 4.5 leads the LLM Stats Score 25.6 to 20.1. Qwen3-Next-80B-A3B-Instruct is 5.8x cheaper per token.

Anthropic · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Claude Haiku 4.5 leads the overall LLM Stats Score 25.6 to 20.1, ranking #171 overall.

In the 5 individual benchmarks reported for both models, Claude Haiku 4.5 wins 5; this is a narrower head-to-head signal than the composite indexes.

On price, Qwen3-Next-80B-A3B-Instruct is roughly 5.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3-Next-80B-A3B-Instruct also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Claude Haiku 4.5

  • overall performance matters — it scores 25.6 and ranks #171 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 5 of 5 exact shared results
  • you want the most recent training data — it shipped Oct 2025

Choose Qwen3-Next-80B-A3B-Instruct

  • cost matters — it's about 5.8x cheaper per token
  • you process long inputs — it offers a 262,144 token context window
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Claude Haiku 4.5
Anthropic
Qwen3-Next-80B-A3B-Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
25.6
#171
20.1
#212
Reasoning
25.2
#168
19.8
#207
Coding
19.4
#114
1.8
#242
Agents
13.3
#107
8.2
#149
Cost, coverage & limits
Benchmark wins
5 of 5
0 of 5
Input price
$1.00 / M
$0.09 / M
Output price
$5.00 / M
$1.10 / M
Context window
200,000
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Claude Haiku 4.5
Qwen3-Next-80B-A3B-Instruct
Math
15.6#220
20.6#161
Tool use
15.2#97
4.2#170
Writing
20.3#17
10.0#76
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for Claude Haiku 4.5 · 24 for Qwen3-Next-80B-A3B-Instruct

5 shared

Claude Haiku 4.5 outperforms in 5 benchmarks (AIME 2025, GPQA, Tau2 Airline, Tau2 Retail, Tau2 Telecom), while Qwen3-Next-80B-A3B-Instruct is better at 0 benchmarks.

Claude Haiku 4.5 significantly outperforms across most benchmarks.

Sun Oct 18 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Qwen3-Next-80B-A3B-Instruct costs less

For input processing, Claude Haiku 4.5 ($1.00/1M tokens) is 11.1x more expensive than Qwen3-Next-80B-A3B-Instruct ($0.09/1M tokens).

For output processing, Claude Haiku 4.5 ($5.00/1M tokens) is 4.5x more expensive than Qwen3-Next-80B-A3B-Instruct ($1.10/1M tokens).

In conclusion, Claude Haiku 4.5 is more expensive than Qwen3-Next-80B-A3B-Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sun Oct 18 2026 • llm-stats.com
Anthropic
Claude Haiku 4.5
Input tokens$1.00
Output tokens$5.00
Best providerAnthropic
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Instruct
Input tokens$0.09
Output tokens$1.10
Best providerDeepinfra
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Qwen3-Next-80B-A3B-Instruct accepts 262,144 input tokens compared to Claude Haiku 4.5's 200,000 tokens. Qwen3-Next-80B-A3B-Instruct can generate longer responses up to 262,144 tokens, while Claude Haiku 4.5 is limited to 64,000 tokens.

Anthropic
Claude Haiku 4.5
Input200,000 tokens
Output64,000 tokens
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Instruct
Input262,144 tokens
Output262,144 tokens
Sun Oct 18 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Claude Haiku 4.5 supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Instruct does not.

Claude Haiku 4.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude Haiku 4.5

Text
Images
Audio
Video

Qwen3-Next-80B-A3B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Haiku 4.5 is licensed under a proprietary license, while Qwen3-Next-80B-A3B-Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Claude Haiku 4.5

Proprietary

Closed source

Qwen3-Next-80B-A3B-Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Claude Haiku 4.5 was released on 2025-10-15, while Qwen3-Next-80B-A3B-Instruct was released on 2025-09-10.

Claude Haiku 4.5 is 1 month newer than Qwen3-Next-80B-A3B-Instruct.

Claude Haiku 4.5

Oct 15, 2025

1.0 years ago

1mo newer
Qwen3-Next-80B-A3B-Instruct

Sep 10, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

Claude Haiku 4.5 has a documented knowledge cutoff of 2025-02-01, while Qwen3-Next-80B-A3B-Instruct's cutoff date is not specified.

We can confirm Claude Haiku 4.5's training data extends to 2025-02-01, but cannot make a direct comparison without Qwen3-Next-80B-A3B-Instruct's cutoff date.

Claude Haiku 4.5

Feb 2025

Qwen3-Next-80B-A3B-Instruct

—

Provider Availability

Claude Haiku 4.5 is available from Anthropic, DeepInfra, Vertex AI. Qwen3-Next-80B-A3B-Instruct is available from DeepInfra, Novita.

Claude Haiku 4.5

anthropic logo
Anthropic
Input Price:Input: $1.00/1MOutput Price:Output: $5.00/1M
deepinfra logo
Deepinfra
Input Price:Input: $1.00/1MOutput Price:Output: $5.00/1M
vertex logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $5.00/1M

Qwen3-Next-80B-A3B-Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.09/1MOutput Price:Output: $1.10/1M
novita logo
Novita
Input Price:Input: $0.15/1MOutput Price:Output: $1.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Claude Haiku 4.5 and Qwen3-Next-80B-A3B-Instruct side-by-side, then vote on the output you prefer.

Claude Haiku 4.5
✓ Preferred
Qwen3-Next-80B-A3B-Instruct
Open in Playground

FAQ

Common questions about Claude Haiku 4.5 vs Qwen3-Next-80B-A3B-Instruct.

Which is better, Claude Haiku 4.5 or Qwen3-Next-80B-A3B-Instruct?

Claude Haiku 4.5 leads the LLM Stats Score 25.6 to 20.1. Claude Haiku 4.5 is made by Anthropic and Qwen3-Next-80B-A3B-Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Claude Haiku 4.5 compare to Qwen3-Next-80B-A3B-Instruct in benchmarks?

Claude Haiku 4.5 scores Tau2 Retail: 83.2%, MMMLU: 83.0%, Tau2 Telecom: 83.0%, AIME 2025: 80.7%, SWE-Bench Verified: 73.3%. Qwen3-Next-80B-A3B-Instruct scores MMLU-Redux: 90.9%, MultiPL-E: 87.8%, IFEval: 87.6%, WritingBench: 87.3%, Creative Writing v3: 85.3%.

Is Claude Haiku 4.5 cheaper than Qwen3-Next-80B-A3B-Instruct?

Qwen3-Next-80B-A3B-Instruct is 11.1x cheaper for input tokens. Claude Haiku 4.5 costs $1.00/M input and $5.00/M output via anthropic. Qwen3-Next-80B-A3B-Instruct costs $0.09/M input and $1.10/M output via deepinfra.

What are the context window sizes for Claude Haiku 4.5 and Qwen3-Next-80B-A3B-Instruct?

Claude Haiku 4.5 supports 200K tokens and Qwen3-Next-80B-A3B-Instruct supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Claude Haiku 4.5 and Qwen3-Next-80B-A3B-Instruct?

Key differences include LLM Stats Score (25.6 vs 20.1), context window (200K vs 262K), input pricing ($1.00 vs $0.09/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Haiku 4.5 and Qwen3-Next-80B-A3B-Instruct?

Claude Haiku 4.5 is developed by Anthropic and Qwen3-Next-80B-A3B-Instruct is developed by Alibaba Cloud / Qwen Team.

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