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GPT-5.6 Luna Pro (batch) vs MiMo-V2.5-Pro

vs
MiMo-V2.5-Pro

Xiaomi

76#112
Signal-by-Signal Comparison
SignalGPT-5.6 Luna Pro (batch)DeltaMiMo-V2.5-Pro
Capabilities
100
+33
67
Benchmarks
88
+12
76
Pricing
99
+0
99
Context window size
96
--
96
Recency
100
--
100
Output Capacity
82
0
82
Overall Result
3 wins
of 6
1 wins
GPT-5.6 Luna Pro (batch) wins 3 of 6 signals

Score History

Score History (20 data points)
GPT-5.6 Luna Pro (batch)MiMo-V2.5-Pro
GPT-5.6 Luna Pro (batch)

89

current score

Leader

GPT-5.6 Luna Pro (batch)

right now

MiMo-V2.5-Pro

76.3

current score

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

GPT-5.6 Luna Pro (batch)

OpenAI

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

MiMo-V2.5-Pro

Xiaomi

Per request$0.000870
Daily$2.90
Monthly$87.00
Annual$1044.00

GPT-5.6 Luna Pro (batch) saves you $47.00/month

That's $564.00/year compared to MiMo-V2.5-Pro at your current usage level of 100K calls/month.

54% cheaper
Choose GPT-5.6 Luna Pro (batch) for cost optimization

GPT-5.6 Luna Pro (batch) pricing:
Input:$0.10/M tokens
Output:$0.60/M tokens
MiMo-V2.5-Pro pricing:
Input:$0.43/M tokens
Output:$0.87/M tokens
Winner
GPT-5.6 Luna Pro (batch)

OpenAI

89

Composite Score

MiMo-V2.5-Pro

Xiaomi

76

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.6 Luna Pro (batch)MiMo-V2.5-ProWinner
Overall Score
89
76
GPT-5.6 Luna Pro (batch)
Rank#31#112
GPT-5.6 Luna Pro (batch)
Quality Rank#31#112
GPT-5.6 Luna Pro (batch)
Adoption Rank#31#112
GPT-5.6 Luna Pro (batch)
Parameters------
Context Window1050K1050K--
Pricing$0.10/$0.60/M$0.43/$0.87/M--
Signal Scores
Capabilities
100
67
GPT-5.6 Luna Pro (batch)
Benchmarks
88
76
GPT-5.6 Luna Pro (batch)
Pricing
99
99
GPT-5.6 Luna Pro (batch)
Context window size
96
96
GPT-5.6 Luna Pro (batch)
Recency
100
100
GPT-5.6 Luna Pro (batch)
Output Capacity
82
82
MiMo-V2.5-Pro
Benchmark Head-to-Head(11 benchmarks)
GPT-5.6 Luna: 0MiMo-V2.5-Pro: 1
GPT-5.6 Luna
MiMo-V2.5-Pro
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
14651468
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 Pro (batch)Elite Tier

Scores 89/100 (rank #31), placing it in the top 90% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
MiMo-V2.5-ProStrong Performer

Scores 76/100 (rank #112), placing it in the top 62% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.6 Luna Pro (batch) has a 13-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose GPT-5.6 Luna Pro (batch) when you need:

  • High-volume production workloads where API costs must be minimized
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving

Choose MiMo-V2.5-Pro when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
GPT-5.6 Luna Pro (batch)Best Value
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
MiMo-V2.5-Pro
Input cost$0.43/M tokens
Output cost$0.87/M tokens
Cost per quality point$0.017
Est. monthly (1M tokens/day)$19.58

GPT-5.6 Luna Pro (batch) offers 46% better value per quality point. At 1M tokens/day, you'd spend $10.50/month with GPT-5.6 Luna Pro (batch) vs $19.58/month with MiMo-V2.5-Pro - a $9.08 monthly difference.

Latency & Speed
GPT-5.6 Luna Pro (batch)Faster
Speed score0/100
MiMo-V2.5-Pro
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 (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-5.6 Luna Pro (batch) also offers lower per-token costs for high-volume support

GPT-5.6 Luna Pro (batch)

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)

Batch data extraction

Lower output pricing ($0.60/M) reduces costs when processing thousands of records daily

GPT-5.6 Luna Pro (batch)

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 (batch)

Image understanding & OCR

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

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

GPT-5.6 Luna Pro (batch) clearly outperforms MiMo-V2.5-Pro with a significant 12.700000000000003-point lead. For most general use cases, GPT-5.6 Luna Pro (batch) is the stronger choice. However, MiMo-V2.5-Pro may still excel in niche scenarios.

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 46% 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 Xiaomi

Consider for specialized use cases.

Capability Comparison
CapabilityGPT-5.6 Luna Pro (batch)MiMo-V2.5-Pro
Vision (Image Input)differs
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-5.6 Luna Pro (batch)

OpenAI

Best Value
$0.9000
estimated monthly cost

MiMo-V2.5-Pro

Xiaomi

$1.83
estimated monthly cost

GPT-5.6 Luna Pro (batch) saves you $0.9270/month

That's 51% cheaper than MiMo-V2.5-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 Pro (batch)MiMo-V2.5-Pro
Context Window1.1M1.1M
Max Output Tokens128,000131,072
Open SourceNoYes
CreatedJul 9, 2026Apr 22, 2026
Last updated: 29m ago

相关对比

GPT-5.6 Luna Pro (batch) vs MiMo-V2.5-Pro (2026) | LM Market Cap