Pairwise benchmark snapshot · Aug 17, 2026

Command A vs MiniMax M2.5 benchmark

Name: Command A vs MiniMax M2.5 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Command A (Cohere) and MiniMax M2.5 (MiniMax) using the latest snapshots we have as of Aug 17, 2026. On preference Elo, MiniMax M2.5 is ahead by 134 points (1,478 vs 1,344; lmarena (Aug 17, 2026)). On SWE-bench coding, MiniMax M2.5 resolves 75.8% versus 42.6% (swebench (Aug 17, 2026)). Command A streams faster (118 tok/s) while MiniMax M2.5 is the cheaper output token ($0.9/1M). Command A has the larger context window (256k 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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Cohere

Command A

Cohere enterprise RAG and tool-use model.

Elo 1,344$10/1M out

MiniMax

MiniMax M2.5

MiniMax coding model. Tied near the top of official SWE-bench bash-only in Feb 2026.

Elo 1,478$0.8999999999999999/1M 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.

Command A (3)vsMiniMax M2.5 (7)

Command A: 3W (30%)Overall: MiniMax M2.5MiniMax M2.5: 7W (70%)

← Command AMiniMax M2.5 →

MiniMax M2.5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,344vs1,478

Coding Elo

—vs1,536

SWE-bench

42.6%vs75.8%

LiveBench

56.2%vs64.4%

GPQA Diamond

66%vs76.2%

Command A: 0WMiniMax M2.5: 5W

Command A (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

118 tok/svs90 tok/s

Time to first token

175 msvs250 ms

Command A: 2WMiniMax M2.5: 0W

MiniMax M2.5 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$10/1Mvs$0.9/1M

Input price

$2.5/1Mvs$0.22/1M

Context window

256kvs205k

Command A: 1WMiniMax M2.5: 2W

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 AdvantageMiniMax M2.5 4/6

Preference Elo

MiniMax M2.5

134 pts advantage

Throughput Speed

Command A

28 tok/s faster

Price Efficiency

MiniMax M2.5

$9.10/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,344

EloHigh is better

1,478+10%

Code Elo

High is better

—

Code EloHigh is better

1,536

LiveBench

High is better

56.2%

LiveBenchHigh is better

64.4%+15%

SWE-bench

High is better

42.6%

SWE-benchHigh is better

75.8%+78%

GPQA

High is better

66%

GPQAHigh is better

76.2%+15%

TTFT

Low is better

+43%175 ms

TTFTLow is better

250 ms

Speed

High is better

+31%118 tok/s

SpeedHigh is better

90 tok/s

In $

Low is better

$2.5/1M

In $Low is better

$0.22/1M+1036%

Out $

Low is better

$10/1M

Out $Low is better

$0.9/1M+1011%

Context

High is better

+25%256k

ContextHigh is better

205k

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 91% with MiniMax M2.5

Monthly Volume50M tokens/mo

Quick Presets:

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

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

Command A$237.50 / mo

In: $87.50Out: $150.00

MiniMax M2.5$21.20 / mo

In: $7.70Out: $13.50

Estimated Cost Delta

MiniMax M2.5 is estimated to save $216.30/month ($2,596/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
MiniMax M2.5:Pick MiniMax M2.5 when repo-level coding accuracy is the constraint.
2
Command A:Pick Command A when time-to-first-token matters more than peak Elo.
3
MiniMax M2.5:Pick MiniMax M2.5 as the default general assistant.

Recommended Workload Routing

Repo / coding agentsMiniMax M2.5

Higher SWE-bench (75.8%).

High-volume chatMiniMax M2.5

Lower output list price ($0.9/1M).

Voice / low-latency UICommand A

Lower TTFT (175 ms).

Long-document RAGCommand A

Larger window (256k).

Screenshots / visionMiniMax M2.5

MiniMax M2.5 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	MiniMax M2.5	Higher SWE-bench (75.8%).
High-volume chat	MiniMax M2.5	Lower output list price ($0.9/1M).
Voice / low-latency UI	Command A	Lower TTFT (175 ms).
Long-document RAG	Command A	Larger window (256k).
Screenshots / vision	MiniMax M2.5	MiniMax M2.5 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

launchFeb 12, 2026

MiniMax M2.5: the Feb 2026 SWE-bench specialist still on the board

Tied near the top of official SWE-bench bash-only in Feb 2026. Coding lists should still see it.

launchMar 13, 2025

Command A: Cohere’s enterprise RAG and tool-use row

Mar 2025. RAG and tools, not a frontier Elo play. Listed so “command a benchmark” has a sourced page.

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LIVE

Cohere

Command A

Elo 1,344

LiveBench56.2%

SWE-bench42.6%

Speed118 tok/s

Output cost$10/1M

MiniMax

MiniMax M2.5

Elo 1,478

LiveBench64.4%

SWE-bench75.8%

Speed90 tok/s

Output cost$0.9/1M

Frequently Asked Questions

Which is better overall, Command A or MiniMax M2.5?: MiniMax M2.5 has the higher preference Elo in our latest snapshot (1,478). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Command A or MiniMax M2.5?: MiniMax M2.5 leads SWE-bench at 75.8% vs 42.6%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: MiniMax M2.5 output tokens are $0.9/1M versus $10/1M. Input prices and retry rates still move the real bill.
Which is faster, Command A or MiniMax M2.5?: Command A has the lower time-to-first-token (175 ms vs 250 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Command A accepts 256k tokens versus 205k.
Can I self-host either model?: MiniMax M2.5 is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
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. Command A and MiniMax M2.5 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Command A matchups →|All MiniMax M2.5 matchups →

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Command A vs MiniMax M2.5 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Command A (3)vsMiniMax M2.5 (7)

Command A: 3W (30%)Overall: MiniMax M2.5MiniMax M2.5: 7W (70%)

← Command AMiniMax M2.5 →

MiniMax M2.5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,344vs1,478

Coding Elo

—vs1,536

SWE-bench

42.6%vs75.8%

LiveBench

56.2%vs64.4%

GPQA Diamond

66%vs76.2%

Command A: 0WMiniMax M2.5: 5W

Command A (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

118 tok/svs90 tok/s

Time to first token

175 msvs250 ms

Command A: 2WMiniMax M2.5: 0W

MiniMax M2.5 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$10/1Mvs$0.9/1M

Input price

$2.5/1Mvs$0.22/1M

Context window

256kvs205k

Command A: 1WMiniMax M2.5: 2W

Recommended Workload Routing

Repo / coding agentsMiniMax M2.5

Higher SWE-bench (75.8%).

High-volume chatMiniMax M2.5

Lower output list price ($0.9/1M).

Voice / low-latency UICommand A

Lower TTFT (175 ms).

Long-document RAGCommand A

Larger window (256k).

Screenshots / visionMiniMax M2.5

MiniMax M2.5 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	MiniMax M2.5	Higher SWE-bench (75.8%).
High-volume chat	MiniMax M2.5	Lower output list price ($0.9/1M).
Voice / low-latency UI	Command A	Lower TTFT (175 ms).
Long-document RAG	Command A	Larger window (256k).
Screenshots / vision	MiniMax M2.5	MiniMax M2.5 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Command A or MiniMax M2.5?

MiniMax M2.5 has the higher preference Elo in our latest snapshot (1,478). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Command A or MiniMax M2.5?

MiniMax M2.5 leads SWE-bench at 75.8% vs 42.6%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

MiniMax M2.5 output tokens are $0.9/1M versus $10/1M. Input prices and retry rates still move the real bill.

Which is faster, Command A or MiniMax M2.5?

Command A has the lower time-to-first-token (175 ms vs 250 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Command A accepts 256k tokens versus 205k.

Can I self-host either model?

MiniMax M2.5 is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.

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. Command A and MiniMax M2.5 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

MiniMax M2.5

Command A

MiniMax M2.5

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

MiniMax M2.5: the Feb 2026 SWE-bench specialist still on the board

Command A: Cohere’s enterprise RAG and tool-use row

Cast Your Matchup Vote

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CompareLLM Matrix

Command A

MiniMax M2.5

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

MiniMax M2.5

Command A

MiniMax M2.5

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

MiniMax M2.5: the Feb 2026 SWE-bench specialist still on the board

Command A: Cohere’s enterprise RAG and tool-use row

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Command A

MiniMax M2.5

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons