text model comparison
GPT-5.6 Luna vs MiMo-V2.6-Flash
GPT-5.6 Luna and MiMo-V2.6-Flash are both current text models, from OpenAI and Xiaomi MiMo. MiMo-V2.6-Flash is 30% cheaper per 1M input tokens than GPT-5.6 Luna, $0.14 vs $0.20. On Arena Text, GPT-5.6 Luna scores 1452 Elo and MiMo-V2.6-Flash 1451 Elo (Arena, measured October 8, 2026). GPT-5.6 Luna has the larger context window, 1,050,000 vs 1,000,000 tokens.
Data verified October 13, 2026 · Dataset 2026-10-13
Side by side
Standard-tier prices in effect today. The better value in each row is highlighted.
| Fact | GPT-5.6 Luna | MiMo-V2.6-Flash |
|---|---|---|
| Price per 1M input tokens | $0.20 | $0.14 (better) |
| Price per 1M output tokens | $1.20 | $0.28 (better) |
| Cost of 10M input and 2M output tokens | $4.40 | $1.96 (better) |
| Arena Text | 1452 Elo (#34 of 49) (better) | 1451 Elo (#35 of 49) |
| GPQA Diamond | 91.6% (#20 of 40) | Not measured |
| FrontierMath Tiers 1-3 (v2) | 82.1% (#12 of 40) | Not measured |
| SimpleQA Verified | 41% (#27 of 36) | Not measured |
| Provider | OpenAI | Xiaomi MiMo |
| Release date | July 9, 2026 | September 22, 2026 |
| Access | API only | API and open weights |
| Context window | 1,050,000 tokens | 1,000,000 tokens |
| Max output | 128,000 tokens | 128,000 tokens |
| Input | text, image | text, image, audio, video |
| Output | text | text |
When to choose each
GPT-5.6 Luna
Best for
- High-volume API evaluation with published low token prices
- Subagents and batch reasoning where cost per call dominates
Watch out for
- Not in the pinned LiveBench snapshot; its independent scores here come from Epoch AI's own GPQA Diamond, FrontierMath and SimpleQA Verified runs
MiMo-V2.6-Flash
Best for
- High-frequency multimodal calls
- Low-cost agent workloads
Watch out for
- Xiaomi's own table puts it well behind the Pro model on exploitation tasks (ExploitBench 25.3 against 47.9)
- The API checkpoint (RL or MOPD weights) is not identified
GPT-5.6 Luna vs MiMo-V2.6-Flash FAQ
Which is cheaper, GPT-5.6 Luna or MiMo-V2.6-Flash?
MiMo-V2.6-Flash is 30% cheaper per 1M input tokens than GPT-5.6 Luna, $0.14 vs $0.20. For 10M input and 2M output tokens, GPT-5.6 Luna costs $4.40 and MiMo-V2.6-Flash $1.96 at standard rates.
Which scores higher on independent benchmarks, GPT-5.6 Luna or MiMo-V2.6-Flash?
GPT-5.6 Luna leads on Arena Text, 1452 Elo to 1451 Elo. Scores are independent evaluations, not either vendor's launch figures.
Which has the larger context window, GPT-5.6 Luna or MiMo-V2.6-Flash?
GPT-5.6 Luna has the larger context window, 1,050,000 vs 1,000,000 tokens.
Can I run GPT-5.6 Luna or MiMo-V2.6-Flash myself?
MiMo-V2.6-Flash is released as open weights you can run yourself; GPT-5.6 Luna is available through its provider's API only.
Related comparisons
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- GPT-4.1 nano vs MiMo-V2.6-Flash
- GPT-5.6 Luna vs GPT-5.6 Sol
- GPT-5.6 Luna vs GPT-5.6 Terra
- GPT-5.6 Luna vs Mercury 2.5
- GPT-5.6 Luna vs Qwen3.8-Omni-Flash
- GPT-6 Luna vs MiMo-V2.6-Flash
Production evaluation
Choosing between GPT-5.6 Luna and MiMo-V2.6-Flash?
Public benchmarks narrow the shortlist. We run both on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.
- A head-to-head evaluation on your real workload
- Routing between models by cost and difficulty
