Compare / GPT-5.6 Luna vs MiMo-V2.5-Pro
GPT-5.6 Luna vs MiMo-V2.5-Pro
Which is cheaper, which is more capable, and which does better at each kind of work, from 23 results on 3 sources that measured both models.
GPT-5.6 Luna or MiMo-V2.5-Pro? The short answer
- GPT-5.6 Luna is cheaper: $0.45 against $0.54 per million tokens, 17% less.
- GPT-5.6 Luna scores higher on the Artificial Analysis Intelligence Index: 37.3 against 26.0.
- On our business benchmarks, GPT-5.6 Luna ranks higher for agents and tool use and reasoning and knowledge.
- On our business benchmarks, MiMo-V2.5-Pro ranks higher for writing and sticking to the facts.
At a glance
| GPT-5.6 Luna | MiMo-V2.5-Pro | |
|---|---|---|
| Price per million tokens | $0.20 in · $1.20 out | $0.43 in · $0.87 out |
| Blended (3 in : 1 out) | $0.45 | $0.54 |
| Cheapest host, blended | $0.23 (OpenAI) | $0.38 (GMICloud, BF16) |
| Intelligence Index | 37.3 | 26.0 |
| Spring Prompt overall | – | – |
| Output speed, tokens a second | – | – |
| Context window | 1,050,000 tokens | 1,050,000 tokens |
| Weights | Closed | Open |
| Developer based in | the US | China |
Prices are the developer's list price where we have read it, otherwise the typical host on OpenRouter; see every model's price. Intelligence and speed from Artificial Analysis.
Which is better for what
Each model's rank among models available today, for each kind of work, from our own benchmarks and licensed sources. The better rank is in green.
| Use case | GPT-5.6 Luna | MiMo-V2.5-Pro |
|---|---|---|
| Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls | 47 of 161 | 86 of 161 |
| Professional workReal tasks from banking, consulting and law, business documents and freelance projects | 20 of 51 | not measured |
| Reasoning and knowledgeHard questions across science, maths and general knowledge | 38 of 195 | 60 of 195 |
| WritingWhat people prefer in blind comparisons, and judged writing quality | 57 of 187 | 41 of 187 |
| Sticking to the factsSummarising without inventing things, and factual answers | 59 of 153 | 28 of 153 |
Every shared result
| Benchmark | Metric | GPT-5.6 Luna | MiMo-V2.5-Pro |
|---|---|---|---|
| Arena (formerly LMArena)reported | Confirmed task successIPS effect estimate | -0.05 | -0.11 |
| Arena (formerly LMArena)reported | Praise over complaintIPS effect estimate | -0.04 | -0.11 |
| Arena (formerly LMArena)reported | SteerabilityIPS effect estimate | 0.02 | -0.05 |
| Arena (formerly LMArena)reported | Tool groundingIPS effect estimate | 0.00 | -0.01 |
| Arena (formerly LMArena)reported | OverallArena rating | 1,461 | 1,465 |
| Arena (formerly LMArena)reported | Business, management and financeArena rating | 1,463 | 1,471 |
| Arena (formerly LMArena)reported | Creative writingArena rating | 1,412 | 1,435 |
| Arena (formerly LMArena)reported | Expert promptsArena rating | 1,491 | 1,506 |
| Arena (formerly LMArena)reported | Instruction followingArena rating | 1,446 | 1,469 |
| Arena (formerly LMArena)reported | OverallArena rating | 1,454 | 1,467 |
| Arena (formerly LMArena)reported | Writing, literature and languageArena rating | 1,435 | 1,450 |
| Artificial Analysisreported | Artificial Analysis Coding Indexindex score | 71.4 | 60.2 |
| Artificial Analysisreported | Artificial Analysis Intelligence Indexindex score | 37.3 | 26.0 |
| Artificial Analysisreported | GPQA Diamond% of questions | 91.1% | 86.6% |
| Artificial Analysisreported | Humanity's Last Exam% of questions | 39.5% | 35.7% |
| Artificial Analysisreported | Long-context reasoning (AA-LCR)% of questions | 83.7% | 79.7% |
| Artificial Analysisreported | SciCode% of problems | 53.6% | 50.6% |
| Artificial Analysisreported | Terminal-Bench 2.1% of tasks | 80.9% | 65.2% |
| Artificial Analysisreported | Terminal-Bench 4.0% of tasks | 11.6% | 0.0% |
| Artificial Analysisreported | Τ-bench banking% of tasks | 31.1% | 9.9% |
| UGI Leaderboardreported | Requested-length error% off the requested word count | 15.0% | 8.0% |
| UGI Leaderboardreported | Style adherencescore from 0 to 1 | 0.38 | 0.40 |
| UGI Leaderboardreported | Writing scorescore out of 100 | 53.7 | 57.4 |
Bold green marks the better value on that metric. Where a source reports ranges that overlap, the difference may not be meaningful; see the benchmark page for ranges.
Quick answers
Is GPT-5.6 Luna better than MiMo-V2.5-Pro?
It depends on the task. Among models available today, on our benchmarks and licensed sources, GPT-5.6 Luna ranks higher for agents and tool use and reasoning and knowledge; MiMo-V2.5-Pro ranks higher for writing and sticking to the facts.
Which is cheaper, GPT-5.6 Luna or MiMo-V2.5-Pro?
GPT-5.6 Luna costs $0.45 per million tokens (three input to one output), against $0.54 for MiMo-V2.5-Pro.
Run GPT-5.6 Luna and MiMo-V2.5-Pro on your own prompt
Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.