GPT-6 Astra vs MiMo-V2.6-Pro
GPT-6 Astra and MiMo-V2.6-Pro are within three points on the Models at Work leaderboard, which we treat as a tie (82 vs 81). MiMo-V2.6-Pro is about 37× cheaper per blended million tokens ($0.54 vs $20). On Artificial Analysis' independent Intelligence Index, GPT-6 Astra leads 53 to 46.
| GPT-6 Astra · OpenAI | MiMo-V2.6-Pro · Xiaomi | |
|---|---|---|
| Leaderboard rank | #4 | #7 |
| Score (0–100) | 82 | 81 |
| Tier | Frontier | Open weights |
| Price per 1M tokens | $10 in · $50 out | $0.43 in · $0.87 out |
| Context window | 1M | 1M |
| Open weights | No | Yes |
| Artificial Analysis Intelligence Index | 53 | 46 |
| Humanity's Last Exam, Diamond (Scale) | 60.6 | — |
| Humanity's Sixth Sense (Scale) | 53.6 | — |
| FrontierMath Erdős (Epoch) | 3% (2 of 68) | — |
| Arena Text score | — | 1480 (rank 26) |
| Arena WebDev score | — | 1629 (rank 19) |
| Best for | Hard reasoning, Research-grade analysis, When cost is not the constraint | Self-hosted agentic coding, Cheap frontier-class batch reasoning, Replacing closed mid-tier models |
Choose GPT-6 Astra if…
- you need hard reasoning
- you need research-grade analysis
- you need when cost is not the constraint
The reasoning heavyweight: leads the hardest exams and the cipher-cracking party tricks, and charges like it.
Caveats: Long-context pricing doubles above 272K input tokens. Speed is the lowest of the frontier set in Artificial Analysis' measurement.
Choose MiMo-V2.6-Pro if…
- you need self-hosted agentic coding
- you need cheap frontier-class batch reasoning
- you need replacing closed mid-tier models
The strongest open-weight model right now and absurdly cheap for what it does. MIT-licensed 1T MoE that lands within a few points of Muse Spark and Grok 4.7. Slow-ish and verbose, so budget for latency and thinking tokens.
Caveats: Overthinks: long, repetitive reasoning traces on simple edits; AA flags it as verbose vs the median model. ~47 tok/s on the first-party API is slow next to Gemini Flash or Haiku-class models. Only 4k Arena votes so far; the rank is still settling.
What practitioners say
GPT-6 Astra: The launch drew the largest model thread of 2026 on Hacker News, and the stories that followed were about capability rather than cost: an Enigma message unsolved since 2005, a WWI cipher, a driving benchmark.
MiMo-V2.6-Pro: HN (1,130 points) was won over less by scores than by Xiaomi's transparency: a live training dashboard with loss curves, dropped datasets and running cost estimates. Users call it 'incredibly cheap' for Muse-Spark-level benchmarks and say it keeps DeepSeek and GLM 'in check'. Complaints are consistent: 'faster than DeepSeek but still much slower than leading models', and it 'seems to overthink way too much', producing huge reasoning traces for trivial edits. Several recommend it via OpenRouter rather than the Chinese first-party API.
Questions people ask
Which is better, GPT-6 Astra or MiMo-V2.6-Pro?
GPT-6 Astra and MiMo-V2.6-Pro are within three points on the Models at Work leaderboard, which we treat as a tie (82 vs 81). MiMo-V2.6-Pro is about 37× cheaper per blended million tokens ($0.54 vs $20). On Artificial Analysis' independent Intelligence Index, GPT-6 Astra leads 53 to 46.
When should I choose GPT-6 Astra over MiMo-V2.6-Pro?
Choose GPT-6 Astra for hard reasoning, research-grade analysis, when cost is not the constraint. The reasoning heavyweight: leads the hardest exams and the cipher-cracking party tricks, and charges like it.
When should I choose MiMo-V2.6-Pro over GPT-6 Astra?
Choose MiMo-V2.6-Pro for self-hosted agentic coding, cheap frontier-class batch reasoning, replacing closed mid-tier models. The strongest open-weight model right now and absurdly cheap for what it does. MIT-licensed 1T MoE that lands within a few points of Muse Spark and Grok 4.7. Slow-ish and verbose, so budget for latency and thinking tokens.
Which is cheaper, GPT-6 Astra or MiMo-V2.6-Pro?
GPT-6 Astra costs $10 per million input tokens and $50 per million output tokens on OpenAI's list price (OpenAI API pricing, read Oct 11, 2026). MiMo-V2.6-Pro costs $0.43 per million input tokens and $0.87 per million output tokens on Xiaomi's list price (MiMo-V2.6-Pro - Artificial Analysis, read Oct 11, 2026).
Scores come from the Models at Work leaderboard: Score is 0 to 100 and computed, not typed: 55% independent evals (Artificial Analysis, Arena, Scale SEAL, Epoch, each scaled against its natural floor and the best score in this table, then averaged), 15% blended price on a fixed log scale ($0.05 per million is 100, $60 is 0), 15% practitioner sentiment from Signals and community threads, 15% operational fit (context window, open weights). A missing component drops out and the rest are reweighted. A model with no independent eval yet is provisional and ranks below every measured one. Within three points is a tie. Vendor-published figures are labelled and never counted. Prices are vendor list prices where published; blended figures assume three input tokens per output token.