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GPT Audio vs Mistral Medium 3.1

GPT Audio

OpenAI

40#347
vs
Mistral Medium 3.1

Mistral AI

40#376
Signal-by-Signal Comparison
SignalGPT AudioDeltaMistral Medium 3.1
Capabilities
50
-17
67
Pricing
90
-8
98
Context window size
81
0
81
Recency
88
+29
59
Output Capacity
67
-13
80
Overall Result
1 wins
of 5
4 wins
Mistral Medium 3.1 wins 4 of 5 signals

Score History

Score History (32 data points)
GPT AudioMistral Medium 3.1
GPT Audio

40

current score

Leader

Tied

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 Audio

OpenAI

Per request$0.007500
Daily$25.00
Monthly$750.00
Annual$9000.00

Mistral Medium 3.1

Mistral AI

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

Mistral Medium 3.1 saves you $610.00/month

That's $7320.00/year compared to GPT Audio at your current usage level of 100K calls/month.

81% cheaper
Choose Mistral Medium 3.1 for cost optimization

GPT Audio pricing:
Input:$2.50/M tokens
Output:$10.00/M tokens
Mistral Medium 3.1 pricing:
Input:$0.40/M tokens
Output:$2.00/M tokens
Tie
GPT Audio

OpenAI

40

Composite Score

Tie
Mistral Medium 3.1

Mistral AI

40

Composite Score

Signal-by-Signal Comparison
MetricGPT AudioMistral Medium 3.1Winner
Overall Score
40
40
--
Rank#347#376
GPT Audio
Quality Rank#347#376
GPT Audio
Adoption Rank#347#376
GPT Audio
Parameters------
Context Window128K131K
Mistral Medium 3.1
Pricing$2.50/$10.00/M$0.40/$2.00/M--
Signal Scores
Capabilities
50
67
Mistral Medium 3.1
Pricing
90
98
Mistral Medium 3.1
Context window size
81
81
Mistral Medium 3.1
Recency
88
59
GPT Audio
Output Capacity
67
80
Mistral Medium 3.1
Benchmark Head-to-Head(1 benchmarks)
GPT Audio: 0Mistral Medium: 0
GPT Audio
Mistral Medium
Normalized 0-100%
HLE
-4.52%
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 AudioEntry Level

Scores 40/100 (rank #347), placing it in the top -19% of all 290 models tracked.

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

Scores 40/100 (rank #376), placing it in the top -29% 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 Audio when you need:

  • Budget-friendly applications with moderate quality requirements

Choose Mistral Medium 3.1 when you need:

  • High-volume production workloads where API costs must be minimized
  • Multimodal workflows that require image understanding
Cost-Performance Analysis
GPT Audio
Input cost$2.50/M tokens
Output cost$10.00/M tokens
Cost per quality point$0.313
Est. monthly (1M tokens/day)$187.50
Mistral Medium 3.1Best Value
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

Mistral Medium 3.1 offers 81% better value per quality point. At 1M tokens/day, you'd spend $36.00/month with Mistral Medium 3.1 vs $187.50/month with GPT Audio - a $151.50 monthly difference.

Latency & Speed
GPT AudioFaster
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 Audio

Customer support chatbot

Suitable for user-facing chat with competitive response times. Mistral Medium 3.1 also offers lower per-token costs for high-volume support

GPT Audio

Long document analysis

Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass

Mistral Medium 3.1

Batch data extraction

Lower output pricing ($2.00/M) reduces costs when processing thousands of records daily

Mistral Medium 3.1

Creative writing & content

Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content

GPT Audio

Image understanding & OCR

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

Mistral Medium 3.1
Which Should You Choose?
Our recommendation:
GPT Audio

GPT Audio and Mistral Medium 3.1 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.

GPT Audio
Recommended

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 - 81% lower pricing; better value at scale
Capability Comparison
CapabilityGPT AudioMistral Medium 3.1
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT Audio

OpenAI

$16.50
estimated monthly cost

Mistral Medium 3.1

Mistral AI

Best Value
$3.12
estimated monthly cost

Mistral Medium 3.1 saves you $13.38/month

That's 81% cheaper than GPT Audio 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 AudioMistral Medium 3.1
Context Window128K131K
Max Output Tokens16,384104,857
Open SourceNoNo
CreatedJan 19, 2026Aug 13, 2025
Last updated: 20m ago

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GPT Audio vs Mistral Medium 3.1 (2026) | LM Market Cap