Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Claude Opus 4 vs MiniMax: MiniMax M3 (batch) benchmark

Name: Claude Opus 4 vs MiniMax: MiniMax M3 (batch) AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude Opus 4 (Anthropic) and MiniMax: MiniMax M3 (batch) (MiniMax) using the latest snapshots we have as of Aug 17, 2026. MiniMax: MiniMax M3 (batch) wins on output price at $0.6/1M. MiniMax: MiniMax M3 (batch) has the larger context window (524k tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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Anthropic

Claude Opus 4

First Claude 4 Opus generation. Baseline for opus 4 vs opus 5.

Elo 1,490$75/1M out

MiniMax

MiniMax: MiniMax M3 (batch)

Auto-discovered from OpenRouter (minimax/minimax-m3:batch). Preview until a second source matches.

$0.6/1M out

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Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Opus 4 (7)vsMiniMax: MiniMax M3 (batch) (3)

Claude Opus 4: 7W (70%)Overall: Claude Opus 4MiniMax: MiniMax M3 (batch): 3W (30%)

← Claude Opus 4MiniMax: MiniMax M3 (batch) →

Claude Opus 4 (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,490vs—

Coding Elo

1,502vs—

SWE-bench

72.5%vs—

LiveBench

66.8%vs—

GPQA Diamond

80.4%vs—

Claude Opus 4: 5WMiniMax: MiniMax M3 (batch): 0W

Claude Opus 4 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

58 tok/svs—

Time to first token

390 msvs—

Claude Opus 4: 2WMiniMax: MiniMax M3 (batch): 0W

MiniMax: MiniMax M3 (batch) (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$75/1Mvs$0.6/1M

Input price

$15/1Mvs$0.15/1M

Context window

200kvs524k

Claude Opus 4: 0WMiniMax: MiniMax M3 (batch): 3W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageClaude Opus 4 4/6

Preference Elo

No shared data

Throughput Speed

No shared data

Token Price Efficiency

MiniMax: MiniMax M3 (batch)

$74.40/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,490

EloHigh is better

—

Code Elo

High is better

1,502

Code EloHigh is better

—

LiveBench

High is better

66.8%

LiveBenchHigh is better

—

SWE-bench

High is better

72.5%

SWE-benchHigh is better

—

GPQA

High is better

80.4%

GPQAHigh is better

—

TTFT

Low is better

390 ms

TTFTLow is better

—

Speed

High is better

58 tok/s

SpeedHigh is better

—

In $

Low is better

$15.00 / 1M

In $Low is better

$0.15 / 1M+9900%

Out $

Low is better

$75.00 / 1M

Out $Low is better

$0.60 / 1M+12400%

Context

High is better

200k

ContextHigh is better

524k+162%

Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 99% with MiniMax: MiniMax M3 (batch)

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

Claude Opus 4$1,650.00 / mo

In: $525Out: $1,125

MiniMax: MiniMax M3 (batch)$14.25 / mo

In: $5.25Out: $9

Estimated Cost Delta

MiniMax: MiniMax M3 (batch) is estimated to save $1,635.75/month ($19,629/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
MiniMax: MiniMax M3 (batch):Pick MiniMax: MiniMax M3 (batch) when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMiniMax: MiniMax M3 (batch)

Lower output list price ($0.6/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGMiniMax: MiniMax M3 (batch)

Larger window (524k).

Screenshots / visionClaude Opus 4

Claude Opus 4 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	MiniMax: MiniMax M3 (batch)	Lower output list price ($0.6/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	MiniMax: MiniMax M3 (batch)	Larger window (524k).
Screenshots / vision	Claude Opus 4	Claude Opus 4 is the side marked multimodal in the catalog.

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LIVE

Anthropic

Claude Opus 4

Elo 1,490

LiveBench66.8%

SWE-bench72.5%

Speed58 tok/s

Output cost$75/1M

MiniMax

MiniMax: MiniMax M3 (batch)

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$0.6/1M

Frequently Asked Questions

Which is better overall, Claude Opus 4 or MiniMax: MiniMax M3 (batch)?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Claude Opus 4 or MiniMax: MiniMax M3 (batch)?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: MiniMax: MiniMax M3 (batch) output tokens are $0.6/1M versus $75/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Opus 4 or MiniMax: MiniMax M3 (batch)?: We do not have TTFT for both models.
Which has the larger context window?: MiniMax: MiniMax M3 (batch) accepts 524k tokens versus 200k.
Can I self-host either model?: Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Claude Opus 4 and MiniMax: MiniMax M3 (batch) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Claude Opus 4 matchups →|All MiniMax: MiniMax M3 (batch) matchups →

Claude Opus 4 vs Claude 3 Opus (previous opus)Claude Opus 4 vs Claude Opus 4.5 (next opus)Claude Sonnet 4.5 vs Claude Opus 4 Claude Sonnet 5 vs Claude Opus 4 Claude Opus 4.6 vs Claude Opus 4 MiniMax M2.5 vs Claude Opus 4

Claude Opus 4 vs MiniMax: MiniMax M3 (batch) benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Opus 4 (7)vsMiniMax: MiniMax M3 (batch) (3)

Claude Opus 4: 7W (70%)Overall: Claude Opus 4MiniMax: MiniMax M3 (batch): 3W (30%)

← Claude Opus 4MiniMax: MiniMax M3 (batch) →

Claude Opus 4 (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,490vs—

Coding Elo

1,502vs—

SWE-bench

72.5%vs—

LiveBench

66.8%vs—

GPQA Diamond

80.4%vs—

Claude Opus 4: 5WMiniMax: MiniMax M3 (batch): 0W

Claude Opus 4 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

58 tok/svs—

Time to first token

390 msvs—

Claude Opus 4: 2WMiniMax: MiniMax M3 (batch): 0W

MiniMax: MiniMax M3 (batch) (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$75/1Mvs$0.6/1M

Input price

$15/1Mvs$0.15/1M

Context window

200kvs524k

Claude Opus 4: 0WMiniMax: MiniMax M3 (batch): 3W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMiniMax: MiniMax M3 (batch)

Lower output list price ($0.6/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGMiniMax: MiniMax M3 (batch)

Larger window (524k).

Screenshots / visionClaude Opus 4

Claude Opus 4 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	MiniMax: MiniMax M3 (batch)	Lower output list price ($0.6/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	MiniMax: MiniMax M3 (batch)	Larger window (524k).
Screenshots / vision	Claude Opus 4	Claude Opus 4 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Claude Opus 4 or MiniMax: MiniMax M3 (batch)?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, Claude Opus 4 or MiniMax: MiniMax M3 (batch)?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

MiniMax: MiniMax M3 (batch) output tokens are $0.6/1M versus $75/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude Opus 4 or MiniMax: MiniMax M3 (batch)?

We do not have TTFT for both models.

Which has the larger context window?

MiniMax: MiniMax M3 (batch) accepts 524k tokens versus 200k.

Can I self-host either model?

Neither model is marked open-weights here. You are comparing hosted APIs.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Claude Opus 4 and MiniMax: MiniMax M3 (batch) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.