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GPT-4.1 vs Mistral Large 3 2512

GPT-4.1

OpenAI

67#118
vs
Mistral Large 3 2512

Mistral AI

67#116
Signal-by-Signal Comparison
SignalGPT-4.1DeltaMistral Large 3 2512
Capabilities
83
+17
67
Benchmarks
70
+1
69
Pricing
92
-6
99
Context window size
86
+9
77
Recency
50
-42
92
Output Capacity
20
--
20
Overall Result
3 wins
of 6
2 wins
GPT-4.1 wins 3 of 6 signals

Score History

Score History (22 data points)
GPT-4.1Mistral Large 3 2512
GPT-4.1

67.2

current score

Leader

Mistral Large 3 2512

right now

Mistral Large 3 2512

67.4

current score

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

GPT-4.1

OpenAI

Per request$0.006000
Daily$20.00
Monthly$600.00
Annual$7200.00

Mistral Large 3 2512

Mistral AI

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

Mistral Large 3 2512 saves you $475.00/month

That's $5700.00/year compared to GPT-4.1 at your current usage level of 100K calls/month.

79% cheaper
Choose Mistral Large 3 2512 for cost optimization

GPT-4.1 pricing:
Input:$2.00/M tokens
Output:$8.00/M tokens
Mistral Large 3 2512 pricing:
Input:$0.50/M tokens
Output:$1.50/M tokens
GPT-4.1

OpenAI

67

Composite Score

Winner
Mistral Large 3 2512

Mistral AI

67

Composite Score

Signal-by-Signal Comparison
MetricGPT-4.1Mistral Large 3 2512Winner
Overall Score
67
67
Mistral Large 3 2512
Rank#118#116
Mistral Large 3 2512
Quality Rank#118#116
Mistral Large 3 2512
Adoption Rank#118#116
Mistral Large 3 2512
Parameters------
Context Window1048K262K
GPT-4.1
Pricing$2.00/$8.00/M$0.50/$1.50/M--
Signal Scores
Capabilities
83
67
GPT-4.1
Benchmarks
70
69
GPT-4.1
Pricing
92
99
Mistral Large 3 2512
Context window size
86
77
GPT-4.1
Recency
50
92
Mistral Large 3 2512
Output Capacity
20
20
GPT-4.1
Benchmark Head-to-Head(12 benchmarks)
GPT-4.1: 8Mistral Large: 1
GPT-4.1
Mistral Large
Normalized 0-100%
MMLU
89.2%84.7%
MMLU-Pro
81.8%69.4%
GPQA Diamond
56%52.5%
MATH-500
78.5%76%
HumanEval
91.5%92%
SWE-bench Verified
54.6%-
IFEval
88.2%86.5%
BBH
84%80%
Arena Elo
13001280
LiveBench
64.5%-
HLE
5.4%-
BigCodeBench
31.8%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.

GPT-4.1Competitive

Scores 67/100 (rank #118), placing it in the top 60% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Mistral Large 3 2512Competitive

Scores 67/100 (rank #116), placing it in the top 60% 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 GPT-4.1 when you need:

  • Processing long documents or large codebases (1048K token context)

Choose Mistral Large 3 2512 when you need:

  • High-volume production workloads where API costs must be minimized
Cost-Performance Analysis
GPT-4.1
Input cost$2.00/M tokens
Output cost$8.00/M tokens
Cost per quality point$0.149
Est. monthly (1M tokens/day)$150.00
Mistral Large 3 2512Best Value
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

Mistral Large 3 2512 offers 80% better value per quality point. At 1M tokens/day, you'd spend $30.00/month with Mistral Large 3 2512 vs $150.00/month with GPT-4.1 - a $120.00 monthly difference.

Latency & Speed
GPT-4.1Faster
Speed score0/100
Mistral Large 3 2512
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

GPT-4.1

Customer support chatbot

Suitable for user-facing chat with competitive response times. Mistral Large 3 2512 also offers lower per-token costs for high-volume support

GPT-4.1

Long document analysis

Larger context window (1048K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-4.1

Batch data extraction

Lower output pricing ($1.50/M) reduces costs when processing thousands of records daily

Mistral Large 3 2512

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

GPT-4.1
Which Should You Choose?
Our recommendation:
Mistral Large 3 2512

GPT-4.1 and Mistral Large 3 2512 are extremely close in overall performance (only 0.20000000000000284 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by OpenAI

  • 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 Mistral AI

  • Choose for Cost - 80% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-4.1Mistral Large 3 2512
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-4.1

OpenAI

$13.20
estimated monthly cost

Mistral Large 3 2512

Mistral AI

Best Value
$2.70
estimated monthly cost

Mistral Large 3 2512 saves you $10.50/month

That's 80% cheaper than GPT-4.1 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
ParameterGPT-4.1Mistral Large 3 2512
Context Window1.0M262K
Max Output Tokens----
Open SourceNoNo
CreatedApr 14, 2025Dec 1, 2025
Last updated: 20m ago

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