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Mistral Large 3 2512 vs Qwen3 Next 80B A3B Thinking

Signal-by-Signal Comparison
SignalMistral Large 3 2512DeltaQwen3 Next 80B A3B Thinking
Capabilities
67
--
67
Benchmarks
68
+5
63
Pricing
99
-1
99
Context window size
86
--
86
Recency
89
+15
75
Output Capacity
20
-55
75
Overall Result
2 wins
of 6
2 wins
It's a tie - both models win 2 signals each

Score History

Score History (24 data points)
Mistral Large 3 2512Qwen3 Next 80B A3B Thinking
Mistral Large 3 2512

67

current score

Leader

Mistral Large 3 2512

right now

Qwen3 Next 80B A3B Thinking

66.9

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Mistral Large 3 2512

Mistral AI

Per request$0.001250
Daily$4.17
Monthly$125.00
Annual$1500.00

Qwen3 Next 80B A3B Thinking

Alibaba

Best Value
Per request$0.000488
Daily$1.63
Monthly$48.75
Annual$585.00

Qwen3 Next 80B A3B Thinking saves you $76.25/month

That's $915.00/year compared to Mistral Large 3 2512 at your current usage level of 100K calls/month.

61% cheaper
Choose Qwen3 Next 80B A3B Thinking for cost optimization

Mistral Large 3 2512 pricing:
Input:$0.50/M tokens
Output:$1.50/M tokens
Qwen3 Next 80B A3B Thinking pricing:
Input:$0.10/M tokens
Output:$0.78/M tokens
Winner
Mistral Large 3 2512

Mistral AI

67

Composite Score

Qwen3 Next 80B A3B Thinking

Alibaba

67

Composite Score

Signal-by-Signal Comparison
MetricMistral Large 3 2512Qwen3 Next 80B A3B ThinkingWinner
Overall Score
67
67
Mistral Large 3 2512
Rank#129#130
Mistral Large 3 2512
Quality Rank#129#130
Mistral Large 3 2512
Adoption Rank#129#130
Mistral Large 3 2512
Parameters--80B--
Context Window262K262K--
Pricing$0.50/$1.50/M$0.10/$0.78/M--
Signal Scores
Capabilities
67
67
Mistral Large 3 2512
Benchmarks
68
63
Mistral Large 3 2512
Pricing
99
99
Qwen3 Next 80B A3B Thinking
Context window size
86
86
Mistral Large 3 2512
Recency
89
75
Mistral Large 3 2512
Output Capacity
20
75
Qwen3 Next 80B A3B Thinking
Benchmark Head-to-Head(10 benchmarks)
Mistral Large: 0Qwen3 Next: 1
Mistral Large
Qwen3 Next
Normalized 0-100%
MMLU
84.7%-
MMLU-Pro
69.4%-
GPQA Diamond
52.5%-
MATH-500
76%-
HumanEval
92%-
IFEval
86.5%-
BBH
80%-
Arena Elo
12801369
LiveBench
57.1%-
BigCodeBench
30%-
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Mistral Large 3 2512Competitive

Scores 67/100 (rank #129), placing it in the top 56% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3 Next 80B A3B ThinkingCompetitive

Scores 67/100 (rank #130), placing it in the top 56% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose Mistral Large 3 2512 when you need:

  • Multimodal workflows that require image understanding

Choose Qwen3 Next 80B A3B Thinking when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Mistral Large 3 2512
Input cost$0.50/M tokens
Output cost$1.50/M tokens
Cost per quality point$0.030
Est. monthly (1M tokens/day)$30.00
Qwen3 Next 80B A3B ThinkingBest Value
Input cost$0.10/M tokens
Output cost$0.78/M tokens
Cost per quality point$0.013
Est. monthly (1M tokens/day)$13.16

Qwen3 Next 80B A3B Thinking offers 56% better value per quality point. At 1M tokens/day, you'd spend $13.16/month with Qwen3 Next 80B A3B Thinking vs $30.00/month with Mistral Large 3 2512 - a $16.84 monthly difference.

Latency & Speed
Mistral Large 3 2512Faster
Speed score0/100
Qwen3 Next 80B A3B Thinking
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Mistral Large 3 2512

Customer support chatbot

Suitable for user-facing chat with competitive response times. Qwen3 Next 80B A3B Thinking also offers lower per-token costs for high-volume support

Mistral Large 3 2512

Long document analysis

Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass

Mistral Large 3 2512

Batch data extraction

Lower output pricing ($0.78/M) reduces costs when processing thousands of records daily

Qwen3 Next 80B A3B Thinking

Creative writing & content

Higher overall composite score (67/100) correlates with better nuance, coherence, and style in long-form content

Mistral Large 3 2512

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Mistral Large 3 2512
Which Should You Choose?
Our recommendation:
Mistral Large 3 2512

Mistral Large 3 2512 and Qwen3 Next 80B A3B Thinking are extremely close in overall performance (only 0.09999999999999432 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by Mistral AI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by Alibaba

  • Choose for Cost - 56% lower pricing; better value at scale
Capability Comparison
CapabilityMistral Large 3 2512Qwen3 Next 80B A3B Thinking
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Mistral Large 3 2512

Mistral AI

$2.70
estimated monthly cost

Qwen3 Next 80B A3B Thinking

Alibaba

Best Value
$1.11
estimated monthly cost

Qwen3 Next 80B A3B Thinking saves you $1.59/month

That's 59% cheaper than Mistral Large 3 2512 at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterMistral Large 3 2512Qwen3 Next 80B A3B Thinking
Context Window262K262K
Max Output Tokens--32,768
Open SourceNoYes
CreatedDec 1, 2025Sep 11, 2025
Last updated: 17m ago

相关对比

Mistral Large 3 2512 vs Qwen3 Next 80B A3B Thinking (2026) | LM Market Cap