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GPT Luna Latest vs MiniMax-01

GPT Luna Latest

~openai

40#246
vs
MiniMax-01

MiniMax

40#395
Signal-by-Signal Comparison
SignalGPT Luna LatestDeltaMiniMax-01
Capabilities
100
+67
33
Pricing
99
0
99
Context window size
96
+0
95
Recency
100
+79
21
Output Capacity
82
-14
95
Overall Result
3 wins
of 5
2 wins
GPT Luna Latest wins 3 of 5 signals

Score History

Score History (32 data points)
GPT Luna LatestMiniMax-01
GPT Luna Latest

40

current score

Leader

Tied

right now

MiniMax-01

40

current score

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

GPT Luna Latest

~openai

Per request$0.000800
Daily$2.67
Monthly$80.00
Annual$960.00

MiniMax-01

MiniMax

Best Value
Per request$0.000750
Daily$2.50
Monthly$75.00
Annual$900.00

MiniMax-01 saves you $5.00/month

That's $60.00/year compared to GPT Luna Latest at your current usage level of 100K calls/month.

6% cheaper
Choose MiniMax-01 for cost optimization

GPT Luna Latest pricing:
Input:$0.20/M tokens
Output:$1.20/M tokens
MiniMax-01 pricing:
Input:$0.20/M tokens
Output:$1.10/M tokens
Tie
GPT Luna Latest

~openai

40

Composite Score

Tie
MiniMax-01

MiniMax

40

Composite Score

Signal-by-Signal Comparison
MetricGPT Luna LatestMiniMax-01Winner
Overall Score
40
40
--
Rank#246#395
GPT Luna Latest
Quality Rank#246#395
GPT Luna Latest
Adoption Rank#246#395
GPT Luna Latest
Parameters------
Context Window1050K1000K
GPT Luna Latest
Pricing$0.20/$1.20/M$0.20/$1.10/M--
Signal Scores
Capabilities
100
33
GPT Luna Latest
Pricing
99
99
MiniMax-01
Context window size
96
95
GPT Luna Latest
Recency
100
21
GPT Luna Latest
Output Capacity
82
95
MiniMax-01
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 Luna LatestEntry Level

Scores 40/100 (rank #246), placing it in the top 16% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
MiniMax-01Entry Level

Scores 40/100 (rank #395), placing it in the top -36% 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 Luna Latest when you need:

  • Agentic applications using tool/function calling
  • Step-by-step reasoning and chain-of-thought problem solving

Choose MiniMax-01 when you need:

  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
GPT Luna Latest
Input cost$0.20/M tokens
Output cost$1.20/M tokens
Cost per quality point$0.035
Est. monthly (1M tokens/day)$21.00
MiniMax-01Best Value
Input cost$0.20/M tokens
Output cost$1.10/M tokens
Cost per quality point$0.033
Est. monthly (1M tokens/day)$19.50

MiniMax-01 offers 7% better value per quality point. At 1M tokens/day, you'd spend $19.50/month with MiniMax-01 vs $21.00/month with GPT Luna Latest - a $1.50 monthly difference.

Latency & Speed
GPT Luna LatestFaster
Speed score0/100
MiniMax-01
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 Luna Latest

Customer support chatbot

Suitable for user-facing chat with competitive response times. MiniMax-01 also offers lower per-token costs for high-volume support

GPT Luna Latest

Long document analysis

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

GPT Luna Latest

Batch data extraction

Lower output pricing ($1.10/M) reduces costs when processing thousands of records daily

MiniMax-01

Creative writing & content

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

GPT Luna Latest

Image understanding & OCR

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

GPT Luna Latest
Which Should You Choose?
Our recommendation:
GPT Luna Latest

GPT Luna Latest and MiniMax-01 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 Luna Latest
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 MiniMax

  • Choose for Cost - 7% lower pricing; better value at scale
Capability Comparison
CapabilityGPT Luna LatestMiniMax-01
Vision (Image Input)
Function Callingdiffers
Streaming
JSON Modediffers
Reasoningdiffers
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT Luna Latest

~openai

$1.80
estimated monthly cost

MiniMax-01

MiniMax

Best Value
$1.68
estimated monthly cost

MiniMax-01 saves you $0.1200/month

That's 7% cheaper than GPT Luna Latest 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 Luna LatestMiniMax-01
Context Window1.1M1.0M
Max Output Tokens128,000900,172
Open SourceNoYes
CreatedSep 11, 2026Jan 15, 2025
Last updated: 46m ago

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