What is the difference between Qwen3.8-Max-0902 and Mistral Large 2?

Qwen3.8-Max-0902 (Alibaba Cloud) features 2.4T with a 1000k context window, while Mistral Large 2 (Mistral AI) features 123B Dense with a 128k context window.

Which is cheaper for production inference, Qwen3.8-Max-0902 or Mistral Large 2?

Qwen3.8-Max-0902 input pricing is $2 per 1M tokens vs Mistral Large 2 at $2 per 1M tokens.

Can I run Qwen3.8-Max-0902 or Mistral Large 2 locally on private GPU hardware?

Qwen3.8-Max-0902 is a closed cloud API and cannot be self-hosted. Mistral Large 2 is a closed cloud API.

Back to LLM Benchmark & Hardware Sizing Engine

Alibaba CloudvsMistral AI

Qwen3.8-Max-0902 vs Mistral Large 2

Side-by-side technical showdown between Qwen3.8-Max-0902 and Mistral Large 2 on TheModelverse. Compare verified LLM benchmark scores, quantization compression, local GPU hardware sizing, and API inference pricing.

Executive Showdown & Winner Breakdown

Who Wins Where: Qwen3.8-Max-0902 vs Mistral Large 2

Verified across benchmarks, pricing & local VRAM footprint

Reasoning & STEM Intelligence

+36.2% lead

Leader:Qwen3.8-Max-0902(92.6 vs 68.0)

Qwen3.8-Max-0902 outperforms in advanced scientific and math problem-solving benchmarks.

Software Engineering & Code

+35.9% lead

Leader:Mistral Large 2(67.7 vs 92.0)

Mistral Large 2 demonstrates higher code generation accuracy and agentic bug resolution.

Hardware Sizing & Model Compression

LLM Hardware Sizing & Quantization Sizing

Simulate weight compression levels and dynamic KV-cache expansion to verify whether these models fit on your local hardware or cloud GPU cluster.

Quantization Level

Active Precision

4 bits / parameter

VRAM Reduction

-72.5% vs FP16

Benchmark Retention

96–98% (Sweet Spot)

Context Simulator

Total VRAM Footprint @ 8k Context (INT4 (GGUF / AWQ))

Model 1Cloud Hosted

Qwen3.8-Max-0902

Zero Local VRAM

Inference runs fully on provider cloud infrastructure. Zero GPU required locally.

Total Params:

2.4T

Active Compute:

95B (Sparse MoE)

Attention Scheme:

GQA / Multi-Head

Max Context:

1000k tokens

Target Hardware: Zero Local VRAM (Managed Cloud API)

Model 2Cloud Hosted

Mistral Large 2

Zero Local VRAM

Inference runs fully on provider cloud infrastructure. Zero GPU required locally.

Total Params:

123B Dense

Active Compute:

Dense

Attention Scheme:

GQA / Multi-Head

Max Context:

128k tokens

Target Hardware: Zero Local VRAM (Managed Cloud API)

GPU & Hardware Tier Compatibility Matrix

Hardware Configuration	Available VRAM	Qwen3.8-Max-0902	Mistral Large 2
16 GB VRAM RTX 4070 / 4080 (16GB), Mac M-Series (16GB)	16 GB	Cloud API	Cloud API
24 GB VRAM 1x RTX 3090 / 4090 (24GB), Mac M-Series (32GB)	24 GB	Cloud API	Cloud API
48 GB VRAM 2x RTX 4090 (TP=2), 1x L40S, Mac M-Series (64GB)	48 GB	Cloud API	Cloud API
80 GB VRAM 1x NVIDIA A100 / H100 (80GB), Mac Studio (128GB)	80 GB	Cloud API	Cloud API
160 GB Node 2x H100 (TP=2), 4x L40S, Mac Studio (192GB)	160 GB	Cloud API	Cloud API
Multi-Node Cluster 4x–8x H100 Datacenter Cluster	320 GB	Cloud API	Cloud API

LLM Benchmark Database

LLM Benchmark Showdown & Head-to-Head Deltas

Normalized evaluation scores across code generation, advanced reasoning, mathematics, and multidisciplinary exams.

SWE-bench (Coding)Score % / Points

Qwen3.8-Max-0902

67.7

Mistral Large 2

—

GPQA Diamond (Hard Reasoning)Score % / Points

Qwen3.8-Max-0902

92.6

Mistral Large 2

—

MATH-500 (Mathematics)Score % / Points

Qwen3.8-Max-0902

—

Mistral Large 2

68.0

MMLU-Pro (Multitask Knowledge)Score % / Points

Qwen3.8-Max-0902

—

Mistral Large 2

84.0

HumanEval (Python Code)Score % / Points

Qwen3.8-Max-0902

—

Mistral Large 2

92.0

Inference Economics & Cost Simulator

Token Pricing & Scale Economics

Calculate estimated monthly cloud API spend and evaluate the breakeven point vs self-hosted GPU hardware.

Monthly Queries: 100,000

10k500k1M

Avg Prompt Tokens: 1000

Avg Output Tokens: 300

Pricing Metric	Qwen3.8-Max-0902	Mistral Large 2
Input Cost (/1M tokens)	$2.00	$2.00
Cached Input (/1M tokens)	—	—
Output Cost (/1M tokens)	$6.00	$6.00
Simulated Monthly Bill (100,000 calls)	$380.00 ~$3.80 / 1k queries	$380.00 ~$3.80 / 1k queries
Self-Hosted Breakeven vs $864/mo GPU	Cloud API is more cost effective	Cloud API is more cost effective

Architecture Matrix

Feature	Qwen3.8-Max-0902	Mistral Large 2
Release Date	9/2/2026	7/24/2024
Routing / MoE	Sparse MoE	Dense
Attention Mechanism	Standard / GQA	Standard / GQA
Source Type	Proprietary Commercial API	Proprietary

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