Pairwise benchmark snapshot · Aug 16, 2026noindex (thin pair)

Claude 3.7 Sonnet vs MiniMax: MiniMax M2.7 benchmark

Name: Claude 3.7 Sonnet vs MiniMax: MiniMax M2.7 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude 3.7 Sonnet (Anthropic) and MiniMax: MiniMax M2.7 (MiniMax) using the latest snapshots we have as of Aug 16, 2026. MiniMax: MiniMax M2.7 wins on output price at $1.2/1M. MiniMax: MiniMax M2.7 has the larger context window (205k 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 3.7 Sonnet

Hybrid-reasoning Sonnet from 2025. Kept for historical compare pages.

Elo 1,362$15/1M out

MiniMax

MiniMax: MiniMax M2.7

Auto-discovered from OpenRouter (minimax/minimax-m2.7). Preview until a second source matches.

$1.2/1M out

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Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs GPT-5

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude 3.7 Sonnet (6)vsMiniMax: MiniMax M2.7 (3)

Claude 3.7 Sonnet: 6W (67%)Overall: Claude 3.7 SonnetMiniMax: MiniMax M2.7: 3W (33%)

← Claude 3.7 SonnetMiniMax: MiniMax M2.7 →

Claude 3.7 Sonnet (4/5)

Intelligence & Reasoning

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

Preference Elo

1,362vs—

Coding Elo

—vs—

SWE-bench

70.3%vs—

LiveBench

58.4%vs—

GPQA Diamond

78.5%vs—

Claude 3.7 Sonnet: 4WMiniMax: MiniMax M2.7: 0W

Claude 3.7 Sonnet (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

85 tok/svs—

Time to first token

240 msvs—

Claude 3.7 Sonnet: 2WMiniMax: MiniMax M2.7: 0W

MiniMax: MiniMax M2.7 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$15/1Mvs$1.2/1M

Input price

$3/1Mvs$0.3/1M

Context window

200kvs205k

Claude 3.7 Sonnet: 0WMiniMax: MiniMax M2.7: 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 3.7 Sonnet 4/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

MiniMax: MiniMax M2.7

$13.80/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,362

EloHigh is better

—

LiveBench

High is better

58.4%

LiveBenchHigh is better

—

SWE-bench

High is better

70.3%

SWE-benchHigh is better

—

GPQA

High is better

78.5%

GPQAHigh is better

—

TTFT

Low is better

240 ms

TTFTLow is better

—

Speed

High is better

85 tok/s

SpeedHigh is better

—

In $

Low is better

$3/1M

In $Low is better

$0.3/1M+900%

Out $

Low is better

$15/1M

Out $Low is better

$1.2/1M+1150%

Context

High is better

200k

ContextHigh is better

205k+2%

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 91% with MiniMax: MiniMax M2.7

Monthly Volume50M tokens/mo

Quick Presets:

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

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

Claude 3.7 Sonnet$330.00 / mo

In: $105.00Out: $225.00

MiniMax: MiniMax M2.7$28.50 / mo

In: $10.50Out: $18.00

Estimated Cost Delta

MiniMax: MiniMax M2.7 is estimated to save $301.50/month ($3,618/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
MiniMax: MiniMax M2.7:Pick MiniMax: MiniMax M2.7 when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMiniMax: MiniMax M2.7

Lower output list price ($1.2/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGMiniMax: MiniMax M2.7

Larger window (205k).

Screenshots / visionClaude 3.7 Sonnet

Claude 3.7 Sonnet 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 M2.7	Lower output list price ($1.2/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	MiniMax: MiniMax M2.7	Larger window (205k).
Screenshots / vision	Claude 3.7 Sonnet	Claude 3.7 Sonnet is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

newsFeb 25, 2025

Claude 3.7 Sonnet stays as a historical hybrid-reasoning baseline

2025 hybrid-reasoning Sonnet. Deprecated for buying, kept for old compare URLs and “what did 3.7 score?”

Community Sentiment

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No comments posted on this matchup yet. Be the first to share an evaluation note!

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LIVE

Anthropic

Claude 3.7 Sonnet

Elo 1,362

LiveBench58.4%

SWE-bench70.3%

Speed85 tok/s

Output cost$15/1M

MiniMax

MiniMax: MiniMax M2.7

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$1.2/1M

Frequently Asked Questions

Which is better overall, Claude 3.7 Sonnet or MiniMax: MiniMax M2.7?: 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 3.7 Sonnet or MiniMax: MiniMax M2.7?: 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 M2.7 output tokens are $1.2/1M versus $15/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude 3.7 Sonnet or MiniMax: MiniMax M2.7?: We do not have TTFT for both models.
Which has the larger context window?: MiniMax: MiniMax M2.7 accepts 205k 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 3.7 Sonnet and MiniMax: MiniMax M2.7 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Claude 3.7 Sonnet matchups →|All MiniMax: MiniMax M2.7 matchups →

Claude 3.7 Sonnet vs Claude 3.5 Sonnet (previous sonnet)Claude 3.7 Sonnet vs Claude Sonnet 4 (next sonnet)Claude Opus 4.5 vs Claude 3.7 Sonnet Claude Opus 4.6 vs Claude 3.7 Sonnet Claude Sonnet 4.5 vs Claude 3.7 Sonnet Claude Opus 5 vs Claude 3.7 Sonnet

Claude 3.7 Sonnet vs MiniMax: MiniMax M2.7 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude 3.7 Sonnet (6)vsMiniMax: MiniMax M2.7 (3)

Claude 3.7 Sonnet: 6W (67%)Overall: Claude 3.7 SonnetMiniMax: MiniMax M2.7: 3W (33%)

← Claude 3.7 SonnetMiniMax: MiniMax M2.7 →

Claude 3.7 Sonnet (4/5)

Intelligence & Reasoning

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

Preference Elo

1,362vs—

Coding Elo

—vs—

SWE-bench

70.3%vs—

LiveBench

58.4%vs—

GPQA Diamond

78.5%vs—

Claude 3.7 Sonnet: 4WMiniMax: MiniMax M2.7: 0W

Claude 3.7 Sonnet (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

85 tok/svs—

Time to first token

240 msvs—

Claude 3.7 Sonnet: 2WMiniMax: MiniMax M2.7: 0W

MiniMax: MiniMax M2.7 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$15/1Mvs$1.2/1M

Input price

$3/1Mvs$0.3/1M

Context window

200kvs205k

Claude 3.7 Sonnet: 0WMiniMax: MiniMax M2.7: 3W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMiniMax: MiniMax M2.7

Lower output list price ($1.2/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGMiniMax: MiniMax M2.7

Larger window (205k).

Screenshots / visionClaude 3.7 Sonnet

Claude 3.7 Sonnet 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 M2.7	Lower output list price ($1.2/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	MiniMax: MiniMax M2.7	Larger window (205k).
Screenshots / vision	Claude 3.7 Sonnet	Claude 3.7 Sonnet is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Claude 3.7 Sonnet or MiniMax: MiniMax M2.7?

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 3.7 Sonnet or MiniMax: MiniMax M2.7?

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 M2.7 output tokens are $1.2/1M versus $15/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude 3.7 Sonnet or MiniMax: MiniMax M2.7?

We do not have TTFT for both models.

Which has the larger context window?

MiniMax: MiniMax M2.7 accepts 205k 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 3.7 Sonnet and MiniMax: MiniMax M2.7 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

No shared data

No shared data

MiniMax: MiniMax M2.7

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Claude 3.7 Sonnet stays as a historical hybrid-reasoning baseline

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Claude 3.7 Sonnet

MiniMax: MiniMax M2.7

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

No shared data

No shared data

MiniMax: MiniMax M2.7

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Claude 3.7 Sonnet stays as a historical hybrid-reasoning baseline

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Claude 3.7 Sonnet

MiniMax: MiniMax M2.7

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons