Model comparison

Qwen 3.8 Max vs Xiaomi MiMo-V2.6-Pro

Qwen 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

Qwen

Qwen 3.8 Max

Frontier · Open weights

Xiaomi

Xiaomi MiMo-V2.6-Pro

Frontier · Open weights

AI model capability comparison
Specification	Qwen 3.8 Max	Xiaomi MiMo-V2.6-Pro
Provider
Provider	Qwen	Xiaomi
Tier
Tier	Frontier	Frontier
Context window
Context window	1M	Winner: 1.05M
Max output
Max output	131K	Not verifiedUnverified
Input / 1M tokens
Input / 1M tokens	$2	Winner: $0.435
Output / 1M tokens
Output / 1M tokens	$6	Winner: $0.87
Weights
Weights	Open	Open
Parameters
Parameters	2.4T total / 95B active (MoE)	1.02T total / 42B active (MoE)
Reasoning levels
Reasoning levels	low, high, max	Not verifiedUnverified
Modalities
Modalities	text, image, video	text, image, video, audio
License
License	Not disclosedUnverified	MIT
API model id
API model id	qwen3.8-max	mimo-v2.6-pro
Released
Released	August 3, 2026	September 21, 2026
Artificial Analysis Intelligence Index (2026-09-26)
Artificial Analysis Intelligence Index (2026-09-26)	45.4	Winner: 46.3
Terminal-Bench 2.1 (2026-08-03)
Terminal-Bench 2.1 (2026-08-03)	86.6	Winner: 89.9
GPQA Diamond (2026-08-03)
GPQA Diamond (2026-08-03)	92.6	Not verifiedUnverified
Humanity's Last Exam (2026-08-14)
Humanity's Last Exam (2026-08-14)	56.2	Not verifiedUnverified
SWE-bench Verified (2026-09-01)
SWE-bench Verified (2026-09-01)	85.6	Not verifiedUnverified
DeepSWE 1.1 (2026-09-21)
DeepSWE 1.1 (2026-09-21)	Not verifiedUnverified	71.9

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
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
2026-09-01
vals.ai SWE-bench Verified leaderboard (independent, mini-swe-agent bash-only); not published by Qwen (official used SWE-bench Pro 67.7)
Real GitHub issue resolution: does the model's patch pass the hidden tests.
Comparable with caveatPost-audit vendor claims and pre-audit scores sit on different task trust levels; scaffolding (agent harness, compute budget) also dominates results. Never aggregate across scaffolds.
2026-08-14
Z.ai GLM-5.3 blog (independent Z.ai-run, with tools; Qwen official no-tools 43.6 — both preserved)
Frontier-knowledge ceiling: extremely hard multi-domain questions written to be near-impossible without deep expertise.
Comparable with caveatSubset/tool configurations (text-only vs with-tools) differ between vendors and materially change scores; must match configuration to compare.
2026-08-03
Qwen official blog (vendor-run table)
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.

Pricing tiers

Qwen 3.8 Max: $2/$6 per MTok (Alibaba Cloud Model Studio). 1M context (up to 991K input), 131,072 max output. A dated snapshot qwen3.8-max-0902 is also listed; open weights shipped separately as Qwen3.8-2.4T-A95B.

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.

FrontierOpen weightsRecord checked September 26, 2026

Qwen 3.8 Max

Qwen 3.8 Max is Alibaba's flagship — 2.4T MoE with 1M-class context, near frontier on the Intelligence Index.

Best for

Open-weight frontier work
Long-context
Multimodal

Watch out

Open weights dropped 2026-08-12 under a custom (non-Apache) licence with vision and 1M-context stripped from the open checkpoint — the open checkpoint is not the full API model. Verify the licence before commercial use.

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.

When the cheaper one wins

Xiaomi MiMo-V2.6-Pro is cheaper on output at $0.87 per million tokens against $6 for Qwen 3.8 Max — about 6.9×. 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.

Run the model picker

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.
2 shared named benchmarks with differing scores — Measured on: Artificial Analysis Intelligence Index, 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.

Qwen 3.8 Max: Qwen — Qwen 3.8 Max (accessed 2026-08-29)
Qwen 3.8 Max: Alibaba Cloud Model Studio (accessed 2026-08-29)
Qwen 3.8 Max: Alibaba Cloud Model Studio — text generation models (1M ctx, 131,072 out) (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? Qwen 3.8 Max · Xiaomi MiMo-V2.6-Pro

Common questions

Qwen 3.8 Max vs Xiaomi MiMo-V2.6-Pro

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

Is Qwen 3.8 Max or Xiaomi MiMo-V2.6-Pro cheaper for input?

Xiaomi MiMo-V2.6-Pro is cheaper at $0.435 per million input tokens, against $2 for Qwen 3.8 Max — roughly 4.6× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Qwen 3.8 Max has tiered pricing: $2/$6 per MTok (Alibaba Cloud Model Studio). 1M context (up to 991K input), 131,072 max output. A dated snapshot qwen3.8-max-0902 is also listed; open weights shipped separately as Qwen3.8-2.4T-A95B. 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 Qwen 3.8 Max or Xiaomi MiMo-V2.6-Pro cheaper for output?

Xiaomi MiMo-V2.6-Pro is cheaper at $0.87 per million output tokens, against $6 for Qwen 3.8 Max — roughly 6.9× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Qwen 3.8 Max has tiered pricing: $2/$6 per MTok (Alibaba Cloud Model Studio). 1M context (up to 991K input), 131,072 max output. A dated snapshot qwen3.8-max-0902 is also listed; open weights shipped separately as Qwen3.8-2.4T-A95B. 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, Qwen 3.8 Max or Xiaomi MiMo-V2.6-Pro?

Xiaomi MiMo-V2.6-Pro accepts 1.05M tokens against 1M for Qwen 3.8 Max. This only matters if you routinely send very long documents or large codebases.

Should I use Qwen 3.8 Max 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. Qwen 3.8 Max suits open-weight frontier work; Xiaomi MiMo-V2.6-Pro suits open-weight frontier work.

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 $2 for Qwen 3.8 Max — a 4.6x difference at the headline tier.
Context: Xiaomi MiMo-V2.6-Pro takes 1.05M against 1M for Qwen 3.8 Max — only decisive if your prompts approach the smaller window.
Measured capability: Xiaomi MiMo-V2.6-Pro leads Terminal-Bench 2.1 89.9 to 86.6 (measured 2026-08-03).

Run the model picker Estimate stack cost All model comparisons

Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.