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VECTOR WIREAI INTELLIGENCE
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GPT-6 Astra vs MiMo V2.6 Pro

OpenAI · released

Wins 2 of 6 areas

Reasoning · Images and charts

Xiaomi · released

Wins 2 of 6 areas

Coding · Long documents

The two are evenly matched.GPT-6 Astra is better at reasoning and images and charts; MiMo V2.6 Pro at coding and long documents.

Scores updated · 22 tests both models report · How we compare

Where each one wins

Tests won in each of the six areas where both have results. Each piece is one test, so a longer bar means more evidence; grey means the two scored within a point of each other.

Images and charts and long documents rest on a single test each.

What it costs

Prices per million tokens, roughly 750,000 words. The bars show the cost of a million tokens read plus a million written.

GPT-6 Astra$10.00 to read · $50.00 to write$60Price from Artificial Analysis
MiMo V2.6 Pro$0.43 to read · $0.87 to write$1.30Price from Artificial Analysis

MiMo V2.6 Pro costs 98% less for the same work.

The biggest differences

The three tests each model wins by the widest margin. Scores are out of 100.

Where GPT-6 Astra pulls ahead

  • Answers hard knowledge questions correctlyAA-Omniscience · Accuracy+27.7points aheadGPT-6 Astra62.6MiMo V2.6 Pro34.9
  • Complex command-line tasks across many fieldsTerminal-Bench 4.0+24.3points aheadGPT-6 Astra59.1MiMo V2.6 Pro34.8
  • Very hard expert questions across many subjectsHumanity's Last Exam+5.3points aheadGPT-6 Astra54.7MiMo V2.6 Pro49.4

Where MiMo V2.6 Pro pulls ahead

  • Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+10.7points aheadMiMo V2.6 Pro59.4GPT-6 Astra48.7
  • Real work tasks from 44 professionsGDPVal+5.6points aheadMiMo V2.6 Pro59.2GPT-6 Astra53.6
  • Reasons across sets of long documentsAA-LCR+5.6points aheadMiMo V2.6 Pro86.3GPT-6 Astra80.7

Every test, side by side

All 22 tests both models report. The winning score is in its model's colour; marks a score checked independently.

CodingMiMo V2.6 Pro

Full coding ranking

AgentsEven
  • Terminal-Bench 4.0GPT-6 Astra by 24.359.134.8+24.3
  • GDPValMiMo V2.6 Pro by 5.653.659.2+5.6

Full agents ranking

ReasoningGPT-6 Astra

Full reasoning ranking

FactsEven

Full facts ranking

Images and chartsGPT-6 Astra

Full images and charts ranking

Long documentsMiMo V2.6 Pro
  • AA-LCRMiMo V2.6 Pro by 5.680.786.3+5.6

Full long documents ranking

Other results11 tests, not counted

Tests outside the eight areas. They are not counted above: several are summary scores built from other tests, or the same test under another name.

  • Terminal-Bench-Science 0.1GPT-6 Astra by 57.663.35.7+57.6
  • HLE-DiamondGPT-6 Astra by 48.663.815.2+48.6
  • CritPt v2 HardGPT-6 Astra by 36.570.534+36.5
  • AA-OmniscienceGPT-6 Astra by 3543.48.4+35
  • Agents' Last ExamGPT-6 Astra by 27.759.331.6+27.7
  • Program BenchGPT-6 Astra by 23.55026.5+23.5
  • Terminal-Bench 4.0GPT-6 Astra by 22.857.734.9+22.8
  • GDPval-AA 2.1MiMo V2.6 Pro by 131 rating points15421673+131 rating
  • GDP (Surge AI)GPT-6 Astra by 11.83119.2+11.8
  • AA IntelligenceGPT-6 Astra by 6.452.746.3+6.4
  • DeepSWE 1.1GPT-6 Astra by 2.274.171.9+2.2

Questions people ask

Which is better, GPT-6 Astra or MiMo V2.6 Pro?

GPT-6 Astra and MiMo V2.6 Pro each win two of the six areas where both have results. GPT-6 Astra wins reasoning and images and charts; MiMo V2.6 Pro wins coding and long documents. MiMo V2.6 Pro costs 98% less. They are level on agents and facts.

Which is better for coding?

MiMo V2.6 Pro. It wins 2 of the 3 coding tests both models report; GPT-6 Astra wins 1.

Which is cheaper?

GPT-6 Astra costs $10.00 per million input tokens and $50.00 per million output tokens; MiMo V2.6 Pro costs $0.43 and $0.87. That makes MiMo V2.6 Pro about 98% cheaper for the same work.

How do you compare the two?

We use the 22 benchmark tests both models have published scores on. The verdict counts the 11 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 11 are listed but not counted, because several are summary scores or repeat a test. Each score is the one shown on the model's own page.