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GPT-4.1 Nano vs Mistral Medium 3.1

GPT-4.1 Nano

OpenAI

42#232
vs
Mistral Medium 3.1

Mistral AI

40#366
Signal-by-Signal Comparison
SignalGPT-4.1 NanoDeltaMistral Medium 3.1
Capabilities
83
+17
67
Benchmarks
44
+44
0
Pricing
100
+2
98
Context window size
96
+14
81
Recency
37
-22
59
Output Capacity
72
-8
80
Overall Result
4 wins
of 6
2 wins
GPT-4.1 Nano wins 4 of 6 signals

Score History

Score History (32 data points)
GPT-4.1 NanoMistral Medium 3.1
GPT-4.1 Nano

42.1

current score

Leader

GPT-4.1 Nano

right now

Mistral Medium 3.1

40

current score

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

GPT-4.1 Nano

OpenAI

Best Value
Per request$0.000300
Daily$1.00
Monthly$30.00
Annual$360.00

Mistral Medium 3.1

Mistral AI

Per request$0.001400
Daily$4.67
Monthly$140.00
Annual$1680.00

GPT-4.1 Nano saves you $110.00/month

That's $1320.00/year compared to Mistral Medium 3.1 at your current usage level of 100K calls/month.

79% cheaper
Choose GPT-4.1 Nano for cost optimization

GPT-4.1 Nano pricing:
Input:$0.10/M tokens
Output:$0.40/M tokens
Mistral Medium 3.1 pricing:
Input:$0.40/M tokens
Output:$2.00/M tokens
Winner
GPT-4.1 Nano

OpenAI

42

Composite Score

Mistral Medium 3.1

Mistral AI

40

Composite Score

Signal-by-Signal Comparison
MetricGPT-4.1 NanoMistral Medium 3.1Winner
Overall Score
42
40
GPT-4.1 Nano
Rank#232#366
GPT-4.1 Nano
Quality Rank#232#366
GPT-4.1 Nano
Adoption Rank#232#366
GPT-4.1 Nano
Parameters------
Context Window1048K131K
GPT-4.1 Nano
Pricing$0.10/$0.40/M$0.40/$2.00/M--
Signal Scores
Capabilities
83
67
GPT-4.1 Nano
Benchmarks
44
--
GPT-4.1 Nano
Pricing
100
98
GPT-4.1 Nano
Context window size
96
81
GPT-4.1 Nano
Recency
37
59
Mistral Medium 3.1
Output Capacity
72
80
Mistral Medium 3.1
Benchmark Head-to-Head(3 benchmarks)
GPT-4.1 Nano: 0Mistral Medium: 0
GPT-4.1 Nano
Mistral Medium
Normalized 0-100%
Arena Elo
1322-
HLE
-4.52%
BigCodeBench
28.4%-
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-4.1 NanoEntry Level

Scores 42/100 (rank #232), placing it in the top 20% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Mistral Medium 3.1Entry Level

Scores 40/100 (rank #366), placing it in the top -26% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 2-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 Nano when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1048K token context)

Choose Mistral Medium 3.1 when you need:

  • Budget-friendly applications with moderate quality requirements
Cost-Performance Analysis
GPT-4.1 NanoBest Value
Input cost$0.10/M tokens
Output cost$0.40/M tokens
Cost per quality point$0.012
Est. monthly (1M tokens/day)$7.50
Mistral Medium 3.1
Input cost$0.40/M tokens
Output cost$2.00/M tokens
Cost per quality point$0.060
Est. monthly (1M tokens/day)$36.00

GPT-4.1 Nano offers 79% better value per quality point. At 1M tokens/day, you'd spend $7.50/month with GPT-4.1 Nano vs $36.00/month with Mistral Medium 3.1 - a $28.50 monthly difference.

Latency & Speed
GPT-4.1 NanoFaster
Speed score0/100
Mistral Medium 3.1
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 Nano

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-4.1 Nano also offers lower per-token costs for high-volume support

GPT-4.1 Nano

Long document analysis

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

GPT-4.1 Nano

Batch data extraction

Lower output pricing ($0.40/M) reduces costs when processing thousands of records daily

GPT-4.1 Nano

Creative writing & content

Higher overall composite score (42/100) correlates with better nuance, coherence, and style in long-form content

GPT-4.1 Nano

Image understanding & OCR

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

GPT-4.1 Nano
Which Should You Choose?
Our recommendation:
GPT-4.1 Nano

GPT-4.1 Nano and Mistral Medium 3.1 are extremely close in overall performance (only 2.1000000000000014 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

GPT-4.1 Nano
Recommended

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 79% lower pricing; better value at scale
  • 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

Consider for specialized use cases.

Capability Comparison
CapabilityGPT-4.1 NanoMistral Medium 3.1
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 Nano

OpenAI

Best Value
$0.6600
estimated monthly cost

Mistral Medium 3.1

Mistral AI

$3.12
estimated monthly cost

GPT-4.1 Nano saves you $2.46/month

That's 79% cheaper than Mistral Medium 3.1 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-4.1 NanoMistral Medium 3.1
Context Window1.0M131K
Max Output Tokens32,768104,857
Open SourceNoNo
CreatedApr 14, 2025Aug 13, 2025
Last updated: 24m ago

相关对比

GPT-4.1 Nano vs Mistral Medium 3.1 (2026) | LM Market Cap