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Gemini 4 Hydrogen vs MiMo-V2.6-Pro

Published LiveBench scores across all seven categories, live list pricing, context windows, and the measured cost of a point of capability — for both models, side by side.

OpenRouter + LiveBenchAll comparisonsFull leaderboard

Gemini 4 Hydrogen scores higher, MiMo-V2.6-Pro costs less — it depends on your workload.

Gemini 4 Hydrogen is ahead by 10.9 points overall, and MiMo-V2.6-Pro lists 5.5× cheaper per blended million tokens. Whether 10.9 points is worth that depends on how much a wrong answer costs you. MiMo-V2.6-Pro also leads on measured cost per point of capability, at $0.0018 per point.

google

Gemini 4 Hydrogen

Blended / 1M
$3.00
Context
1.0M
Released
Nov 12, 2026
Overall score
77.0
reasoningtool callingaudio inputfile inputimage inputvideo inputprompt caching

xiaomi

MiMo-V2.6-Pro

Blended / 1M
$0.544
Context
1.1M
Released
Sep 21, 2026
Overall score
66.1
reasoningtool callingimage inputvideo inputaudio inputprompt caching

Specs and pricing

MetricGemini 4 HydrogenMiMo-V2.6-Pro
LiveBench overall

Weighted mean of the seven LiveBench category scores, 0–100. Higher is better.

77.0win66.1
Cost per point

Measured benchmark spend divided by overall score — dollars per point of capability.

$0.0192$0.0018win
Blended price / 1M

3:1 input:output mix, the usual shape of production traffic.

$3.00$0.544win
Input price / 1M$1.50$0.435win
Output price / 1M$7.50$0.870win
Cached input / 1M

Price of an input token served from the prompt cache, where the provider publishes one.

$0.075$0.0036win
Context window1.0M1.1M
Max output tokens944Kwin131K

Benchmarks by category

An overall score averages away the thing you probably care about. These are the seven LiveBench categories scored separately — Gemini 4 Hydrogen on top, MiMo-V2.6-Pro below, both out of 100.

Long-horizon agentic
61.8
36.4
Coding
78.5
64.5
Reasoning
88.6
79.6
Browsertoo close to call
77.1
77.3
Data analysis
83.2
72.3
Research
86.8
84.8
Documents & design
77.3
74.3

What each one costs to run

Per-token prices are hard to feel. These are monthly list costs for both models across five workload shapes, using each provider's published cached-input rate where there is one.

WorkloadGemini 4 HydrogenMiMo-V2.6-Pro
Support chatbot

1.2K in / 400 out × 200K requests

$857.40/mo$142.94/mo
RAG assistant

8K in / 600 out × 100K requests

$1,080/mo$227.64/mo
Coding agent

40K in / 4K out × 20K requests

$1,002/mo$176.02/mo
Document extraction

20K in / 1.5K out × 50K requests

$1,991/mo$478.68/mo
Bulk classification

500 in / 20 out × 5M requests

$3,787/mo$958.80/mo
Run these two through the cost calculator

Which should you pick?

You are running this at volume

MiMo-V2.6-Pro

Lowest measured cost per point of capability at $0.0018 per point — the gap compounds with every request.

Quality matters more than the bill

Gemini 4 Hydrogen

Highest overall LiveBench score of the two at 77.0.

The workload is coding or agentic work

Gemini 4 Hydrogen

Leads on long-horizon agentic — 61.8 against 36.4.

Gemini 4 Hydrogen vs MiMo-V2.6-Pro FAQ

Which is better, Gemini 4 Hydrogen or MiMo-V2.6-Pro?

Gemini 4 Hydrogen scores higher, MiMo-V2.6-Pro costs less — it depends on your workload. Gemini 4 Hydrogen is ahead by 10.9 points overall, and MiMo-V2.6-Pro lists 5.5× cheaper per blended million tokens. Whether 10.9 points is worth that depends on how much a wrong answer costs you. MiMo-V2.6-Pro also leads on measured cost per point of capability, at $0.0018 per point.

Is Gemini 4 Hydrogen cheaper than MiMo-V2.6-Pro?

MiMo-V2.6-Pro is cheaper. On a 3:1 input:output blend, Gemini 4 Hydrogen lists at $3.00 per million tokens and MiMo-V2.6-Pro at $0.544 — MiMo-V2.6-Pro is 5.5× cheaper. Input and output are priced separately — Gemini 4 Hydrogen charges $1.50 in and $7.50 out, MiMo-V2.6-Pro charges $0.435 and $0.870 — so the model that looks cheaper flips depending on how output-heavy your workload is.

Gemini 4 Hydrogen vs MiMo-V2.6-Pro: which scores higher on benchmarks?

Gemini 4 Hydrogen scores 77.0 and MiMo-V2.6-Pro scores 66.1 overall on LiveBench, the weighted mean of its seven categories. That is a 10.9-point lead for Gemini 4 Hydrogen. Category scores differ from the overall figure — a model can lead on reasoning and trail on coding, which the per-category table above breaks out.

Which gives better value for money, Gemini 4 Hydrogen or MiMo-V2.6-Pro?

MiMo-V2.6-Pro. Cost per point divides the measured dollars LiveBench spent running the benchmark by the score it earned, so it captures something token pricing misses: a reasoning model can emit many times more tokens than its per-token rate suggests. Gemini 4 Hydrogen works out at $0.0192 per point and MiMo-V2.6-Pro at $0.0018.

Does Gemini 4 Hydrogen or MiMo-V2.6-Pro have a bigger context window?

They are effectively the same — 1.0M for Gemini 4 Hydrogen and 1.1M for MiMo-V2.6-Pro.

Do Gemini 4 Hydrogen and MiMo-V2.6-Pro support prompt caching?

Both publish a cached-input rate: $0.075 per million for Gemini 4 Hydrogen and $0.0036 for MiMo-V2.6-Pro, against full input rates of $1.50 and $0.435. On a workload with a long stable prefix — a system prompt, a tool schema, a retrieved corpus — that changes the economics more than the headline price does.

Related comparisons

How these numbers are produced

  • Price — provider list price from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
  • Scores — LiveBench release 2026-11-06, using their own category map. Each model shows its strongest published run. A blank means “not evaluated”, never “bad”.
  • Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
  • “Win” — awarded only past a threshold: one full point on a benchmark score, 10% on a price, 25% on a context window. Anything tighter reports as a tie, because effort settings alone move a LiveBench score by more than that.

Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.