Skip to content

Mistral Large 2407 vs Qwen3 Next 80B A3B Thinking

Mistral Large 2407

Mistral AI

67#189
vs
Signal-by-Signal Comparison
SignalMistral Large 2407DeltaQwen3 Next 80B A3B Thinking
Capabilities
50
-17
67
Benchmarks
55
-7
63
Pricing
94
-5
99
Context window size
81
-5
86
Recency
12
-54
66
Output Capacity
80
-6
86
Overall Result
0 wins
of 6
6 wins
Qwen3 Next 80B A3B Thinking wins 6 of 6 signals

Score History

Score History (30 data points)
Mistral Large 2407Qwen3 Next 80B A3B Thinking
Mistral Large 2407

66.7

current score

Leader

Tied

right now

Qwen3 Next 80B A3B Thinking

66.7

current score

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

Mistral Large 2407

Mistral AI

Per request$0.005000
Daily$16.67
Monthly$500.00
Annual$6000.00

Qwen3 Next 80B A3B Thinking

Alibaba

Best Value
Per request$0.000750
Daily$2.50
Monthly$75.00
Annual$900.00

Qwen3 Next 80B A3B Thinking saves you $425.00/month

That's $5100.00/year compared to Mistral Large 2407 at your current usage level of 100K calls/month.

85% cheaper
Choose Qwen3 Next 80B A3B Thinking for cost optimization

Mistral Large 2407 pricing:
Input:$2.00/M tokens
Output:$6.00/M tokens
Qwen3 Next 80B A3B Thinking pricing:
Input:$0.15/M tokens
Output:$1.20/M tokens
Tie
Mistral Large 2407

Mistral AI

67

Composite Score

Tie
Qwen3 Next 80B A3B Thinking

Alibaba

67

Composite Score

Signal-by-Signal Comparison
MetricMistral Large 2407Qwen3 Next 80B A3B ThinkingWinner
Overall Score
67
67
--
Rank#189#187
Qwen3 Next 80B A3B Thinking
Quality Rank#189#187
Qwen3 Next 80B A3B Thinking
Adoption Rank#189#187
Qwen3 Next 80B A3B Thinking
Parameters--80B--
Context Window131K262K
Qwen3 Next 80B A3B Thinking
Pricing$2.00/$6.00/M$0.15/$1.20/M--
Signal Scores
Capabilities
50
67
Qwen3 Next 80B A3B Thinking
Benchmarks
55
63
Qwen3 Next 80B A3B Thinking
Pricing
94
99
Qwen3 Next 80B A3B Thinking
Context window size
81
86
Qwen3 Next 80B A3B Thinking
Recency
12
66
Qwen3 Next 80B A3B Thinking
Output Capacity
80
86
Qwen3 Next 80B A3B Thinking
Benchmark Head-to-Head(1 benchmarks)
Mistral Large: 0Qwen3 Next: 1
Mistral Large
Qwen3 Next
Normalized 0-100%
Arena Elo
13141369
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 2407Competitive

Scores 67/100 (rank #189), placing it in the top 35% of all 290 models tracked.

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

Scores 67/100 (rank #187), placing it in the top 36% 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 2407 when you need:

  • Budget-friendly applications with moderate quality requirements

Choose Qwen3 Next 80B A3B Thinking when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (262K token context)
  • 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 2407
Input cost$2.00/M tokens
Output cost$6.00/M tokens
Cost per quality point$0.120
Est. monthly (1M tokens/day)$120.00
Qwen3 Next 80B A3B ThinkingBest Value
Input cost$0.15/M tokens
Output cost$1.20/M tokens
Cost per quality point$0.020
Est. monthly (1M tokens/day)$20.25

Qwen3 Next 80B A3B Thinking offers 83% better value per quality point. At 1M tokens/day, you'd spend $20.25/month with Qwen3 Next 80B A3B Thinking vs $120.00/month with Mistral Large 2407 - a $99.75 monthly difference.

Latency & Speed
Mistral Large 2407Faster
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 2407

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 2407

Long document analysis

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

Qwen3 Next 80B A3B Thinking

Batch data extraction

Lower output pricing ($1.20/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 2407
Which Should You Choose?
Our recommendation:
Mistral Large 2407

Mistral Large 2407 and Qwen3 Next 80B A3B Thinking are extremely close in overall performance (only 0 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 - 83% lower pricing; better value at scale
Capability Comparison
CapabilityMistral Large 2407Qwen3 Next 80B A3B Thinking
Vision (Image Input)
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 2407

Mistral AI

$10.80
estimated monthly cost

Qwen3 Next 80B A3B Thinking

Alibaba

Best Value
$1.71
estimated monthly cost

Qwen3 Next 80B A3B Thinking saves you $9.09/month

That's 84% cheaper than Mistral Large 2407 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 2407Qwen3 Next 80B A3B Thinking
Context Window131K262K
Max Output Tokens104,857235,929
Open SourceNoYes
CreatedNov 19, 2024Sep 11, 2025
Last updated: 11m ago

Related comparisons

Mistral Large 2407 vs Qwen3 Next 80B A3B Thinking (2026) | LM Market Cap