Model comparison

GPT-6 Astra vs Xiaomi MiMo-V2.6-Pro

OpenAI against Xiaomi, compared on context, price, and verified benchmark results.

Catalog record checked September 26, 2026Individual provider fields may changeEvidence confidence: High — see receipts below

OpenAI

GPT-6 Astra

Frontier

Xiaomi

Xiaomi MiMo-V2.6-Pro

Frontier · Open weights

AI model capability comparison
Specification	GPT-6 Astra	Xiaomi MiMo-V2.6-Pro
Provider
Provider	OpenAI	Xiaomi
Tier
Tier	Frontier	Frontier
Context window
Context window	Winner: 1.05M	1.05M
Max output
Max output	128K	Not verifiedUnverified
Input / 1M tokens
Input / 1M tokens	$10	Winner: $0.435
Output / 1M tokens
Output / 1M tokens	$50	Winner: $0.87
Weights
Weights	Closed	Open
Parameters
Parameters	overall flagship (reasoning, coding, computer use)	1.02T total / 42B active (MoE)
Reasoning levels
Reasoning levels	low, medium, high, xhigh, max	Not verifiedUnverified
Modalities
Modalities	text, image	text, image, video, audio
License
License	Not disclosedUnverified	MIT
API model id
API model id	gpt-6-astra	mimo-v2.6-pro
Released
Released	September 3, 2026	September 21, 2026
Artificial Analysis Intelligence Index [max] (2026-09-26)
Artificial Analysis Intelligence Index [max] (2026-09-26)	52.7	Not verifiedUnverified
Artificial Analysis Intelligence Index (2026-09-26)
Artificial Analysis Intelligence Index (2026-09-26)	Not verifiedUnverified	46.3
DeepSWE 1.1 (2026-09-03)
DeepSWE 1.1 (2026-09-03)	Winner: 74.1	71.9
OSWorld 2.0 (offline) (2026-09-03)
OSWorld 2.0 (offline) (2026-09-03)	72.6	Not verifiedUnverified
GPQA Diamond (2026-09-03)
GPQA Diamond (2026-09-03)	96	Not verifiedUnverified
Humanity's Last Exam (2026-09-03)
Humanity's Last Exam (2026-09-03)	57.2	Not verifiedUnverified
Terminal-Bench 4.0 [xhigh] (2026-09-26)
Terminal-Bench 4.0 [xhigh] (2026-09-26)	59.6	Not verifiedUnverified
Terminal-Bench 2.1 [xhigh] (2026-09-26)
Terminal-Bench 2.1 [xhigh] (2026-09-26)	89.1	Not verifiedUnverified
Terminal-Bench 2.1 (2026-09-21)
Terminal-Bench 2.1 (2026-09-21)	Not verifiedUnverified	89.9

Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.

Benchmark receipts

Where each score comes from, and how far it can be compared across models.

2026-09-26
Artificial Analysis Terminal-Bench 2.1 (independent, Terminus 2 harness)
Agentic terminal work: multi-step tasks executed in a sandboxed shell environment.
Comparable with caveatNot comparable with Terminal-Bench 3.0 or 4.0 (different task sets) or v1; harness configuration (container, time limits) also shifts results.
2026-09-26
Artificial Analysis Terminal-Bench 4.0 (independent AA run, part of Intelligence Index v4.3.2)
Agentic terminal work: long multi-step tasks executed in a sandboxed shell environment.
Comparable with caveatNOT comparable with Terminal-Bench 2.x or 3.0 — 4.0 uses a new, non-overlapping task set. Within 4.0, scores from different harnesses (tbench.ai agent entries vs Artificial Analysis runs) are not interchangeable.
2026-09-26
Artificial Analysis
Composite index blending reasoning, knowledge, and coding evals into one 0–100 score.
Comparable with caveatOnly same-version scores are comparable. v4.3.2 was rebaselined (the top score fell from 66 on v4.1.1 to ~58), so v4.1.1 figures must not be compared with v4.3.2 figures — check measuredAt.
2026-09-21
Xiaomi MiMo-V2.6 announcement (vendor)
Agentic software engineering: pass@1 on real repo tasks with reported cost per completed task.
Directly comparable
2026-09-03
OpenAI GPT-6 Astra launch chart (vendor, with tools; transcribed by Vellum)
Agentic software engineering: pass@1 on real repo tasks with reported cost per completed task.
Directly comparable

Pricing tiers

GPT-6 Astra: Standard $10/$50 per MTok (≤272K input); above 272K input the whole request bills $20/$75. Cached input $1/MTok; cache writes $12.50 (1.25x input). Batch/Flex $5/$25. Fast mode costs 2x for up to 2x the speed ($20/$100 short context, $40/$150 long). Knowledge cutoff Apr 30 2026. Rolled out from 2026-09-03; Enterprise tenants get it disabled by default.

Xiaomi MiMo-V2.6-Pro: $0.435/$0.87 per MTok (cache hit $0.0036; cache writes free for a limited time) — unchanged from V2.5-Pro. UltraSpeed mode (mimo-v2.6-pro-ultraspeed) costs $4.35/$8.70. Open weights (MIT) as MiMo-V2.6-Pro-RL.

FrontierRecord checked September 26, 2026

GPT-6 Astra

GPT-6 Astra is OpenAI's overall flagship — its most capable model for complex reasoning, coding and computer use, and the first it gates at the Preparedness Framework's 'Critical' cybersecurity threshold.

Best for

Computer-use agents
Agentic coding
Hard reasoning

Watch out

Gated at the 'Critical' cyber threshold and disabled by default for Enterprise; long-context work bills $20/$75 above 272K input tokens. GPT-6 Sol ($2/$10) covers most work at a fifth of the price.

FrontierOpen weightsRecord checked September 26, 2026

Xiaomi MiMo-V2.6-Pro

MiMo-V2.6-Pro is Xiaomi's open-weight (MIT) 1.02T MoE with omni-modal input and a 1M context — the top open-weight model on the Artificial Analysis index at under $1 per million output tokens.

Best for

Open-weight frontier work
Omni-modal input
Cheap long-context API

Watch out

Max output is not verified; vendor benchmark claims (DeepSWE 71.9) are not yet independently reproduced.

Benchmark

DeepSWE 1.1 in context

Only GPT-6 Astra has a published DeepSWE 1.1 result. It is shown against the wider field, with cost per completed task alongside the score.

Local leader

GPT-6 Astra [xhigh]

74%

Rows shown

Best published Pass@1 per model (Datacurve's default view)

Snapshot date

2026-09-26

Mirrored from deepswe.datacurve.ai

Better is toward the top-right (higher pass rate, lower cost). X-axis is reversed to match DeepSWE’s public chart. v1.1 uses average cost / tokens / steps; v1 uses published medians.

DeepSWE 1.1 leaderboard with pass rate, cost, tokens, and steps per task
#	Model	Pass@1	Cost / task	Tokens / task	Steps / task
1	GPT-6 Astra [xhigh]	74%	$4.43	30k	29
2	Gemini 3.8 Flash [high]	74%	$2.36	143k	166
3	Claude Opus 5 [max]	74%	$11.84	118k	99
4	GPT-5.6 Sol [max]	73%	$8.39	60k	61
5	Claude Fable 5 [xhigh]	70%	$13.41	80k	68
6	GPT-5.6 Terra [max]	70%	$4.95	72k	76
7	GLM 5.3 [max]	69%	$3.99	80k	124
8	Kimi K3 [max]	69%	$4.65	82k	98
9	Grok 4.6 [medium]	68%	$3.45	50k	70
10	GPT-5.6 Luna [max]	67%	$3.03	73k	102
11	GPT-5.5 [xhigh]	67%	$7.23	46k	82
12	Gemini 3.7 Flash [medium]	66%	$2.03	94k	117
13	GLM 5.3 Flash [max]	63%	$0.48	73k	123
14	DeepSeek V4-Pro [max]	63%	$0.24	106k	155
15	Claude Opus 4.8 [max]	59%	$13.22	135k	120
16	Qwen3.8-Max [xhigh]	58%	$3.73	95k	111
17	Muse Spark 1.2 [xhigh]	55%	$3.70	99k	101
18	Claude Sonnet 5 [max]	54%	$26.40	214k	268
19	Grok 4.5 [high]	54%	$2.42	36k	61
20	DeepSeek V4-Flash [max]	53%	$0.10	108k	153
21	Muse Spark 1.1 [xhigh]	53%	$2.36	74k	96
22	GPT-5.4 [xhigh]	52%	$5.65	71k	70
23	Gemini 3.6 Flash [high]	47%	$4.42	96k	117
24	GLM 5.2 [max]	44%	$3.92	78k	129
25	Gemini 3.5 Flash [high]	36%	$3.45	76k	105
26	Kimi K2.7 Code	31%	$2.82	59k	149
27	Claude Sonnet 4.6 [high]	30%	$5.52	76k	134
28	Gemini 3.1 Pro [high]	12%	$2.14	28k	76

“Best per model” shows each model’s highest published Pass@1, as Datacurve’s own board does; switch to all effort levels to see every configuration. Small gaps may not be statistically meaningful — confirm on deepswe.datacurve.ai.

When the cheaper one wins

Xiaomi MiMo-V2.6-Pro is cheaper on output at $0.87 per million tokens against $50 for GPT-6 Astra — about 57×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. These are standard-tier API rates, excluding batch and cache discounts.

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Evidence confidence: High

How strong and complete the evidence behind this comparison is — not a prediction of which model is better.

Pricing verified on both sides — Input and output rates are verified for both models.
3/5 core specs verified on both sides — Not published for at least one side: max output, reasoning levels.
3 shared named benchmarks with differing scores — Measured on: Artificial Analysis Intelligence Index, DeepSWE 1.1, Terminal-Bench 2.1.
Verified within the last 90 days — Newest catalog check was 2 days ago.
Both models carry source citations — Each side has at least two catalog sources on record.

Source receipts

Each catalog figure was checked against the provider or an independent second source on the date shown.

GPT-6 Astra: OpenAI — Introducing GPT-6 Astra (accessed 2026-09-03)
GPT-6 Astra: OpenAI API pricing (gpt-6-astra $10/$50) (accessed 2026-09-03)
GPT-6 Astra: CNBC — OpenAI launches GPT-6 Astra (accessed 2026-09-03)
GPT-6 Astra: OpenAI model docs — gpt-6-astra (128K max output, effort levels) (accessed 2026-09-05)
GPT-6 Astra: OpenAI API pricing (gpt-6-astra ≤272K $10/$50, >272K $20/$75) (accessed 2026-09-26)
Xiaomi MiMo-V2.6-Pro: Xiaomi — MiMo-V2.6 (pricing, benchmarks) (accessed 2026-09-26)
Xiaomi MiMo-V2.6-Pro: Hugging Face — XiaomiMiMo/MiMo-V2.6-Pro-RL (MIT, 1.02T/42B, 1M) (accessed 2026-09-26)

Related comparisons

Diving deeper on one model? GPT-6 Astra · Xiaomi MiMo-V2.6-Pro

Common questions

GPT-6 Astra vs Xiaomi MiMo-V2.6-Pro

Answered from the verified figures on this page rather than general guidance.

Is GPT-6 Astra or Xiaomi MiMo-V2.6-Pro cheaper for input?

Xiaomi MiMo-V2.6-Pro is cheaper at $0.435 per million input tokens, against $10 for GPT-6 Astra — roughly 23× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; GPT-6 Astra has tiered pricing: Standard $10/$50 per MTok (≤272K input); above 272K input the whole request bills $20/$75. Cached input $1/MTok; cache writes $12.50 (1.25x input). Batch/Flex $5/$25. Fast mode costs 2x for up to 2x the speed ($20/$100 short context, $40/$150 long). Knowledge cutoff Apr 30 2026. Rolled out from 2026-09-03; Enterprise tenants get it disabled by default. Xiaomi MiMo-V2.6-Pro has tiered pricing: $0.435/$0.87 per MTok (cache hit $0.0036; cache writes free for a limited time) — unchanged from V2.5-Pro. UltraSpeed mode (mimo-v2.6-pro-ultraspeed) costs $4.35/$8.70. Open weights (MIT) as MiMo-V2.6-Pro-RL.

Is GPT-6 Astra or Xiaomi MiMo-V2.6-Pro cheaper for output?

Xiaomi MiMo-V2.6-Pro is cheaper at $0.87 per million output tokens, against $50 for GPT-6 Astra — roughly 57× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; GPT-6 Astra has tiered pricing: Standard $10/$50 per MTok (≤272K input); above 272K input the whole request bills $20/$75. Cached input $1/MTok; cache writes $12.50 (1.25x input). Batch/Flex $5/$25. Fast mode costs 2x for up to 2x the speed ($20/$100 short context, $40/$150 long). Knowledge cutoff Apr 30 2026. Rolled out from 2026-09-03; Enterprise tenants get it disabled by default. Xiaomi MiMo-V2.6-Pro has tiered pricing: $0.435/$0.87 per MTok (cache hit $0.0036; cache writes free for a limited time) — unchanged from V2.5-Pro. UltraSpeed mode (mimo-v2.6-pro-ultraspeed) costs $4.35/$8.70. Open weights (MIT) as MiMo-V2.6-Pro-RL.

Which has the larger context window, GPT-6 Astra or Xiaomi MiMo-V2.6-Pro?

Both accept about 1.05M tokens of context, so document length will not decide between them.

Should I use GPT-6 Astra or Xiaomi MiMo-V2.6-Pro?

Both sit in the frontier tier, so the choice usually comes down to price and context rather than capability. GPT-6 Astra suits computer-use agents; Xiaomi MiMo-V2.6-Pro suits open-weight frontier work.

Can I self-host GPT-6 Astra or Xiaomi MiMo-V2.6-Pro?

Xiaomi MiMo-V2.6-Pro publishes open weights, but self-hosting and third-party provider access depend on the licence, hardware, serving support, and availability. GPT-6 Astra is a closed model whose supported access paths are controlled by its provider.

Next step

Choosing between them

The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.

Input price: Xiaomi MiMo-V2.6-Pro costs $0.435 per 1M tokens versus $10 for GPT-6 Astra — a 23x difference at the headline tier.
Context: GPT-6 Astra takes 1.05M against 1.05M for Xiaomi MiMo-V2.6-Pro — only decisive if your prompts approach the smaller window.
Measured capability: GPT-6 Astra leads Artificial Analysis Intelligence Index 52.7 to 46.3 (measured 2026-09-26).
Deployment: Xiaomi MiMo-V2.6-Pro publishes weights you can self-host; the other is API-only.

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