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Gemini 4 Carbon vs MiniMax M3.1 Flash

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 Carbon scores higher, MiniMax M3.1 Flash costs less — it depends on your workload.

Gemini 4 Carbon is ahead by 19.9 points overall, and MiniMax M3.1 Flash lists 30× cheaper per blended million tokens. Whether 19.9 points is worth that depends on how much a wrong answer costs you. MiniMax M3.1 Flash also leads on measured cost per point of capability, at $0.0017 per point.

google

Gemini 4 Carbon

Blended / 1M
$4.00
Context
1.0M
Released
Nov 10, 2026
Overall score
83.5
reasoningtool callingaudio inputfile inputimage inputvideo inputprompt caching

minimax

MiniMax M3.1 Flash

Blended / 1M
$0.131
Context
1.0M
Released
Oct 19, 2026
Overall score
63.7
reasoningtool callingimage inputvideo inputprompt caching

Specs and pricing

MetricGemini 4 CarbonMiniMax M3.1 Flash
LiveBench overall

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

83.5win63.7
Cost per point

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

$0.0202$0.0017win
Blended price / 1M

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

$4.00$0.131win
Input price / 1M$2.00$0.075win
Output price / 1M$10.00$0.300win
Cached input / 1M

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

$0.100$0.0075win
Context window1.0M1.0M
Max output tokens944Kwin524K

Benchmarks by category

An overall score averages away the thing you probably care about. These are the seven LiveBench categories scored separately — Gemini 4 Carbon on top, MiniMax M3.1 Flash below, both out of 100.

Long-horizon agentic
72.7
25.7
Coding
91.0
68.8
Reasoning
90.6
82.9
Browsertoo close to call
80.0
80.6
Data analysis
86.5
71.4
Research
92.5
76.7
Documents & design
80.2
71.2

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 CarbonMiniMax M3.1 Flash
Support chatbot

1.2K in / 400 out × 200K requests

$1,143/mo$37.14/mo
RAG assistant

8K in / 600 out × 100K requests

$1,440/mo$51.00/mo
Coding agent

40K in / 4K out × 20K requests

$1,336/mo$46.20/mo
Document extraction

20K in / 1.5K out × 50K requests

$2,655/mo$94.13/mo
Bulk classification

500 in / 20 out × 5M requests

$5,050/mo$183.75/mo
Run these two through the cost calculator

Which should you pick?

You are running this at volume

MiniMax M3.1 Flash

Lowest measured cost per point of capability at $0.0017 per point — the gap compounds with every request.

Quality matters more than the bill

Gemini 4 Carbon

Highest overall LiveBench score of the two at 83.5.

The workload is coding or agentic work

Gemini 4 Carbon

Leads on long-horizon agentic — 72.7 against 25.7.

Gemini 4 Carbon vs MiniMax M3.1 Flash FAQ

Which is better, Gemini 4 Carbon or MiniMax M3.1 Flash?

Gemini 4 Carbon scores higher, MiniMax M3.1 Flash costs less — it depends on your workload. Gemini 4 Carbon is ahead by 19.9 points overall, and MiniMax M3.1 Flash lists 30× cheaper per blended million tokens. Whether 19.9 points is worth that depends on how much a wrong answer costs you. MiniMax M3.1 Flash also leads on measured cost per point of capability, at $0.0017 per point.

Is Gemini 4 Carbon cheaper than MiniMax M3.1 Flash?

MiniMax M3.1 Flash is cheaper. On a 3:1 input:output blend, Gemini 4 Carbon lists at $4.00 per million tokens and MiniMax M3.1 Flash at $0.131 — MiniMax M3.1 Flash is 30× cheaper. Input and output are priced separately — Gemini 4 Carbon charges $2.00 in and $10.00 out, MiniMax M3.1 Flash charges $0.075 and $0.300 — so the model that looks cheaper flips depending on how output-heavy your workload is.

Gemini 4 Carbon vs MiniMax M3.1 Flash: which scores higher on benchmarks?

Gemini 4 Carbon scores 83.5 and MiniMax M3.1 Flash scores 63.7 overall on LiveBench, the weighted mean of its seven categories. That is a 19.9-point lead for Gemini 4 Carbon. 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 Carbon or MiniMax M3.1 Flash?

MiniMax M3.1 Flash. 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 Carbon works out at $0.0202 per point and MiniMax M3.1 Flash at $0.0017.

Does Gemini 4 Carbon or MiniMax M3.1 Flash have a bigger context window?

They are effectively the same — 1.0M for Gemini 4 Carbon and 1.0M for MiniMax M3.1 Flash.

Do Gemini 4 Carbon and MiniMax M3.1 Flash support prompt caching?

Both publish a cached-input rate: $0.100 per million for Gemini 4 Carbon and $0.0075 for MiniMax M3.1 Flash, against full input rates of $2.00 and $0.075. 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.