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GPT-5.6 Luna Pro vs Mistral Nemo

GPT-5.6 Luna Pro

OpenAI

89#32
vs
Mistral Nemo

Mistral AI

40#358
Signal-by-Signal Comparison
SignalGPT-5.6 Luna ProDeltaMistral Nemo
Capabilities
100
+50
50
Benchmarks
88
+88
0
Pricing
99
-1
100
Context window size
96
+14
81
Recency
100
+100
0
Output Capacity
85
+15
70
Overall Result
5 wins
of 6
1 wins
GPT-5.6 Luna Pro wins 5 of 6 signals

Score History

Score History (25 data points)
GPT-5.6 Luna ProMistral Nemo
GPT-5.6 Luna Pro

89

current score

Leader

GPT-5.6 Luna Pro

right now

Mistral Nemo

40

current score

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

GPT-5.6 Luna Pro

OpenAI

Per request$0.000400
Daily$1.33
Monthly$40.00
Annual$480.00

Mistral Nemo

Mistral AI

Best Value
Per request$0.000034
Daily$0.11
Monthly$3.40
Annual$40.80

Mistral Nemo saves you $36.60/month

That's $439.20/year compared to GPT-5.6 Luna Pro at your current usage level of 100K calls/month.

92% cheaper
Choose Mistral Nemo for cost optimization

GPT-5.6 Luna Pro pricing:
Input:$0.10/M tokens
Output:$0.60/M tokens
Mistral Nemo pricing:
Input:$0.02/M tokens
Output:$0.03/M tokens
Winner
GPT-5.6 Luna Pro

OpenAI

89

Composite Score

Mistral Nemo

Mistral AI

40

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.6 Luna ProMistral NemoWinner
Overall Score
89
40
GPT-5.6 Luna Pro
Rank#32#358
GPT-5.6 Luna Pro
Quality Rank#32#358
GPT-5.6 Luna Pro
Adoption Rank#32#358
GPT-5.6 Luna Pro
Parameters------
Context Window1050K131K
GPT-5.6 Luna Pro
Pricing$0.10/$0.60/M$0.02/$0.03/M--
Signal Scores
Capabilities
100
50
GPT-5.6 Luna Pro
Benchmarks
88
--
GPT-5.6 Luna Pro
Pricing
99
100
Mistral Nemo
Context window size
96
81
GPT-5.6 Luna Pro
Recency
100
0
GPT-5.6 Luna Pro
Output Capacity
85
70
GPT-5.6 Luna Pro
Benchmark Head-to-Head(11 benchmarks)
GPT-5.6 Luna: 0Mistral Nemo: 0
GPT-5.6 Luna
Mistral Nemo
Normalized 0-100%
MMLU
93%-
MMLU-Pro
84.5%-
GPQA Diamond
85%-
MATH-500
92.5%-
HumanEval
96.5%-
SWE-bench Verified
75%-
IFEval
92%-
BBH
90.5%-
Arena Elo
1465-
LiveBench
76%-
HLE
35%-
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-5.6 Luna ProElite Tier

Scores 89/100 (rank #32), placing it in the top 89% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Mistral NemoEntry Level

Scores 40/100 (rank #358), placing it in the top -23% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.6 Luna Pro has a 49-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-5.6 Luna Pro when you need:

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

Choose Mistral Nemo when you need:

  • High-volume production workloads where API costs must be minimized
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
GPT-5.6 Luna Pro
Input cost$0.10/M tokens
Output cost$0.60/M tokens
Cost per quality point$0.008
Est. monthly (1M tokens/day)$10.50
Mistral NemoBest Value
Input cost$0.02/M tokens
Output cost$0.03/M tokens
Cost per quality point$0.001
Est. monthly (1M tokens/day)$0.73

Mistral Nemo offers 93% better value per quality point. At 1M tokens/day, you'd spend $0.73/month with Mistral Nemo vs $10.50/month with GPT-5.6 Luna Pro - a $9.77 monthly difference.

Latency & Speed
GPT-5.6 Luna ProFaster
Speed score0/100
Mistral Nemo
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-5.6 Luna Pro

Customer support chatbot

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

GPT-5.6 Luna Pro

Long document analysis

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

GPT-5.6 Luna Pro

Batch data extraction

Lower output pricing ($0.03/M) reduces costs when processing thousands of records daily

Mistral Nemo

Creative writing & content

Higher overall composite score (89/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.6 Luna Pro

Image understanding & OCR

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

GPT-5.6 Luna Pro
Which Should You Choose?
Our recommendation:
GPT-5.6 Luna Pro

GPT-5.6 Luna Pro clearly outperforms Mistral Nemo with a significant 49-point lead. For most general use cases, GPT-5.6 Luna Pro is the stronger choice. However, Mistral Nemo may still excel in niche scenarios.

GPT-5.6 Luna Pro
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 - 93% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-5.6 Luna ProMistral Nemo
Vision (Image Input)differs
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-5.6 Luna Pro

OpenAI

$0.9000
estimated monthly cost

Mistral Nemo

Mistral AI

Best Value
$0.0702
estimated monthly cost

Mistral Nemo saves you $0.8298/month

That's 92% cheaper than GPT-5.6 Luna Pro 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-5.6 Luna ProMistral Nemo
Context Window1.1M131K
Max Output Tokens128,00016,384
Open SourceNoYes
CreatedJul 9, 2026Jul 19, 2024
Last updated: 35m ago

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GPT-5.6 Luna Pro vs Mistral Nemo (2026) | LM Market Cap