Pairwise benchmark snapshot · Aug 16, 2026

GLM-5.2 vs MiniMax M2.5 benchmark

Name: GLM-5.2 vs MiniMax M2.5 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares GLM-5.2 (Zhipu) and MiniMax M2.5 (MiniMax) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, GLM-5.2 is ahead by 14 points (1,492 vs 1,478; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, MiniMax M2.5 resolves 75.8% versus 69.3% (seed-bootstrap (Aug 1, 2026)). MiniMax M2.5 streams faster (90 tok/s) while MiniMax M2.5 is the cheaper output token ($0.9/1M). GLM-5.2 has the larger context window (1M 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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Zhipu

GLM-5.2

Zhipu flagship. Strong Chinese/English coding and agents.

Elo 1,492$0.9680000000000001/1M 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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Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GLM-5.2 (4)vsMiniMax M2.5 (6)

GLM-5.2: 4W (40%)Overall: MiniMax M2.5MiniMax M2.5: 6W (60%)

← GLM-5.2MiniMax M2.5 →

GLM-5.2 (3/5)

Intelligence & Reasoning

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

Preference Elo

1,492vs1,478

Coding Elo

1,504vs1,536

SWE-bench

69.3%vs75.8%

LiveBench

65.2%vs64.4%

GPQA Diamond

79.5%vs76.2%

GLM-5.2: 3WMiniMax M2.5: 2W

MiniMax M2.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

84 tok/svs90 tok/s

Time to first token

270 msvs250 ms

GLM-5.2: 0WMiniMax M2.5: 2W

MiniMax M2.5 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.97/1Mvs$0.9/1M

Input price

$0.31/1Mvs$0.22/1M

Context window

1Mvs205k

GLM-5.2: 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 AdvantageEven 3–3

Preference Elo

GLM-5.2

14 pts advantage

Throughput Speed

MiniMax M2.5

6 tok/s faster

Price Efficiency

MiniMax M2.5

$0.07/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+1%1,492

EloHigh is better

1,478

Code Elo

High is better

1,504

Code EloHigh is better

1,536+2%

LiveBench

High is better

+1%65.2%

LiveBenchHigh is better

64.4%

SWE-bench

High is better

69.3%

SWE-benchHigh is better

75.8%+9%

GPQA

High is better

+4%79.5%

GPQAHigh is better

76.2%

TTFT

Low is better

270 ms

TTFTLow is better

250 ms+8%

Speed

High is better

84 tok/s

SpeedHigh is better

90 tok/s+7%

In $

Low is better

$0.31/1M

In $Low is better

$0.22/1M+40%

Out $

Low is better

$0.97/1M

Out $Low is better

$0.9/1M+8%

Context

High is better

+412%1M

ContextHigh is better

205k

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 16% 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)

GLM-5.2$25.30 / mo

In: $10.78Out: $14.52

MiniMax M2.5$21.20 / mo

In: $7.70Out: $13.50

Estimated Cost Delta

MiniMax M2.5 is estimated to save $4.10/month ($49/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
MiniMax M2.5:Pick MiniMax M2.5 when time-to-first-token matters more than peak Elo.
3
GLM-5.2:Pick GLM-5.2 for million-token RAG or long-document jobs.

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 UIMiniMax M2.5

Lower TTFT (250 ms).

Long-document RAGGLM-5.2

Larger window (1M).

Screenshots / visionGLM-5.2

GLM-5.2 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	MiniMax M2.5	Lower TTFT (250 ms).
Long-document RAG	GLM-5.2	Larger window (1M).
Screenshots / vision	GLM-5.2	GLM-5.2 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

newsAug 16, 2026

GLM-5.2 vs GLM 5V Turbo Price and SWE-bench 2026

GLM-5.2 undercuts GLM 5V Turbo by 74.2% on input at $0.31/1M, with 1,492 Elo and 69.3% SWE-bench in dated 2026 snapshots.

launchJun 18, 2026

GLM-5.2 remains the prior Zhipu flagship for upgrade pairs

Strong Chinese/English coding. 5.3 is the new row; 5.2 stays so the delta is visible.

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.

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LIVE

Zhipu

GLM-5.2

Elo 1,492

LiveBench65.2%

SWE-bench69.3%

Speed84 tok/s

Output cost$0.97/1M

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, GLM-5.2 or MiniMax M2.5?: GLM-5.2 has the higher preference Elo in our latest snapshot (1,492). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, GLM-5.2 or MiniMax M2.5?: MiniMax M2.5 leads SWE-bench at 75.8% vs 69.3%. 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 $0.97/1M. Input prices and retry rates still move the real bill.
Which is faster, GLM-5.2 or MiniMax M2.5?: MiniMax M2.5 has the lower time-to-first-token (250 ms vs 270 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: GLM-5.2 accepts 1M tokens versus 205k.
Can I self-host either model?: Both GLM-5.2 and MiniMax M2.5 are marked open-weights. Hosting cost is not in this table.
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. GLM-5.2 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 GLM-5.2 matchups →|All MiniMax M2.5 matchups →

GLM-5.2 vs GLM-5.3 (next glm)DeepSeek V4 Flash vs GLM-5.2 Qwen QwQ 32B vs GLM-5.2 Llama 4 Maverick vs MiniMax M2.5 DeepSeek V4 Pro vs GLM-5.2 Gemini 2.0 Flash Thinking vs GLM-5.2

GLM-5.2 vs MiniMax M2.5 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GLM-5.2 (4)vsMiniMax M2.5 (6)

GLM-5.2: 4W (40%)Overall: MiniMax M2.5MiniMax M2.5: 6W (60%)

← GLM-5.2MiniMax M2.5 →

GLM-5.2 (3/5)

Intelligence & Reasoning

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

Preference Elo

1,492vs1,478

Coding Elo

1,504vs1,536

SWE-bench

69.3%vs75.8%

LiveBench

65.2%vs64.4%

GPQA Diamond

79.5%vs76.2%

GLM-5.2: 3WMiniMax M2.5: 2W

MiniMax M2.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

84 tok/svs90 tok/s

Time to first token

270 msvs250 ms

GLM-5.2: 0WMiniMax M2.5: 2W

MiniMax M2.5 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.97/1Mvs$0.9/1M

Input price

$0.31/1Mvs$0.22/1M

Context window

1Mvs205k

GLM-5.2: 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 UIMiniMax M2.5

Lower TTFT (250 ms).

Long-document RAGGLM-5.2

Larger window (1M).

Screenshots / visionGLM-5.2

GLM-5.2 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	MiniMax M2.5	Lower TTFT (250 ms).
Long-document RAG	GLM-5.2	Larger window (1M).
Screenshots / vision	GLM-5.2	GLM-5.2 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, GLM-5.2 or MiniMax M2.5?

GLM-5.2 has the higher preference Elo in our latest snapshot (1,492). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, GLM-5.2 or MiniMax M2.5?

MiniMax M2.5 leads SWE-bench at 75.8% vs 69.3%. 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 $0.97/1M. Input prices and retry rates still move the real bill.

Which is faster, GLM-5.2 or MiniMax M2.5?

MiniMax M2.5 has the lower time-to-first-token (250 ms vs 270 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

GLM-5.2 accepts 1M tokens versus 205k.

Can I self-host either model?

Both GLM-5.2 and MiniMax M2.5 are marked open-weights. Hosting cost is not in this table.

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. GLM-5.2 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

GLM-5.2

MiniMax M2.5

MiniMax M2.5

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

GLM-5.2 vs GLM 5V Turbo Price and SWE-bench 2026

GLM-5.2 remains the prior Zhipu flagship for upgrade pairs

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

Cast Your Matchup Vote

Community Discussions (0)

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CompareLLM Matrix

GLM-5.2

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

GLM-5.2

MiniMax M2.5

MiniMax M2.5

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

GLM-5.2 vs GLM 5V Turbo Price and SWE-bench 2026

GLM-5.2 remains the prior Zhipu flagship for upgrade pairs

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

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

GLM-5.2

MiniMax M2.5

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons