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GPT-5.5 Pro (batch) vs Mistral Large 3 2512 (batch)

Signal-by-Signal Comparison
SignalGPT-5.5 Pro (batch)DeltaMistral Large 3 2512 (batch)
Capabilities
100
+33
67
Benchmarks
93
+25
68
Pricing
10
-89
99
Context window size
96
+10
86
Recency
100
+21
79
Output Capacity
82
-3
85
Overall Result
4 wins
of 6
2 wins
GPT-5.5 Pro (batch) wins 4 of 6 signals

Score History

Score History (8 data points)
GPT-5.5 Pro (batch)Mistral Large 3 2512 (batch)
GPT-5.5 Pro (batch)

92.7

current score

Leader

GPT-5.5 Pro (batch)

right now

Mistral Large 3 2512 (batch)

67

current score

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

GPT-5.5 Pro (batch)

OpenAI

Per request$0.060000
Daily$200.00
Monthly$6000.00
Annual$72000.00

Mistral Large 3 2512 (batch)

Mistral AI

Best Value
Per request$0.000625
Daily$2.08
Monthly$62.50
Annual$750.00

Mistral Large 3 2512 (batch) saves you $5937.50/month

That's $71250.00/year compared to GPT-5.5 Pro (batch) at your current usage level of 100K calls/month.

99% cheaper
Choose Mistral Large 3 2512 (batch) for cost optimization

GPT-5.5 Pro (batch) pricing:
Input:$15.00/M tokens
Output:$90.00/M tokens
Mistral Large 3 2512 (batch) pricing:
Input:$0.25/M tokens
Output:$0.75/M tokens
Winner
GPT-5.5 Pro (batch)

OpenAI

93

Composite Score

Mistral Large 3 2512 (batch)

Mistral AI

67

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.5 Pro (batch)Mistral Large 3 2512 (batch)Winner
Overall Score
93
67
GPT-5.5 Pro (batch)
Rank#12#183
GPT-5.5 Pro (batch)
Quality Rank#12#183
GPT-5.5 Pro (batch)
Adoption Rank#12#183
GPT-5.5 Pro (batch)
Parameters------
Context Window1050K262K
GPT-5.5 Pro (batch)
Pricing$15.00/$90.00/M$0.25/$0.75/M--
Signal Scores
Capabilities
100
67
GPT-5.5 Pro (batch)
Benchmarks
93
68
GPT-5.5 Pro (batch)
Pricing
10
99
Mistral Large 3 2512 (batch)
Context window size
96
86
GPT-5.5 Pro (batch)
Recency
100
79
GPT-5.5 Pro (batch)
Output Capacity
82
85
Mistral Large 3 2512 (batch)
Benchmark Head-to-Head(12 benchmarks)
GPT-5.5 Pro: 3Mistral Large: 0
GPT-5.5 Pro
Mistral Large
Normalized 0-100%
MMLU
92.4%84.7%
MMLU-Pro
-69.4%
GPQA Diamond
93.6%52.5%
MATH-500
-76%
HumanEval
-92%
SWE-bench Verified
88.7%-
IFEval
-86.5%
BBH
-80%
Arena Elo
14751280
LiveBench
-57.1%
HLE
41.4%-
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.

GPT-5.5 Pro (batch)Elite Tier

Scores 93/100 (rank #12), placing it in the top 96% of all 290 models tracked.

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

Scores 67/100 (rank #183), placing it in the top 37% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.5 Pro (batch) has a 26-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose GPT-5.5 Pro (batch) when you need:

  • Processing long documents or large codebases (1050K token context)
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Mistral Large 3 2512 (batch) when you need:

  • High-volume production workloads where API costs must be minimized
Cost-Performance Analysis
GPT-5.5 Pro (batch)
Input cost$15.00/M tokens
Output cost$90.00/M tokens
Cost per quality point$1.133
Est. monthly (1M tokens/day)$1575.00
Mistral Large 3 2512 (batch)Best Value
Input cost$0.25/M tokens
Output cost$0.75/M tokens
Cost per quality point$0.015
Est. monthly (1M tokens/day)$15.00

Mistral Large 3 2512 (batch) offers 99% better value per quality point. At 1M tokens/day, you'd spend $15.00/month with Mistral Large 3 2512 (batch) vs $1575.00/month with GPT-5.5 Pro (batch) - a $1560.00 monthly difference.

Latency & Speed
GPT-5.5 Pro (batch)Faster
Speed score0/100
Mistral Large 3 2512 (batch)
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-5.5 Pro (batch)

Customer support chatbot

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

GPT-5.5 Pro (batch)

Long document analysis

Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-5.5 Pro (batch)

Batch data extraction

Lower output pricing ($0.75/M) reduces costs when processing thousands of records daily

Mistral Large 3 2512 (batch)

Creative writing & content

Higher overall composite score (93/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.5 Pro (batch)

Image understanding & OCR

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

GPT-5.5 Pro (batch)
Which Should You Choose?
Our recommendation:
GPT-5.5 Pro (batch)

GPT-5.5 Pro (batch) clearly outperforms Mistral Large 3 2512 (batch) with a significant 25.700000000000003-point lead. For most general use cases, GPT-5.5 Pro (batch) is the stronger choice. However, Mistral Large 3 2512 (batch) may still excel in niche scenarios.

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 - 99% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-5.5 Pro (batch)Mistral Large 3 2512 (batch)
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-5.5 Pro (batch)

OpenAI

$135.00
estimated monthly cost

Mistral Large 3 2512 (batch)

Mistral AI

Best Value
$1.35
estimated monthly cost

Mistral Large 3 2512 (batch) saves you $133.65/month

That's 99% cheaper than GPT-5.5 Pro (batch) 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-5.5 Pro (batch)Mistral Large 3 2512 (batch)
Context Window1.1M262K
Max Output Tokens128,000209,715
Open SourceNoNo
CreatedApr 24, 2026Dec 1, 2025
Last updated: 51m ago

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