GLM-5.2 vs MiniMax M2.5 benchmark

MiniMax M2.51,478

Coding Elo+32

GLM-5.21,504

MiniMax M2.51,536

LiveBench+0.8%

GLM-5.265.2%

MiniMax M2.564.4%

SWE-bench+6.5%

GLM-5.269.3%

MiniMax M2.575.8%

GPQA Diamond+3.3%

GLM-5.279.5%

MiniMax M2.576.2%

Time to first token+20 ms

GLM-5.2270 ms

MiniMax M2.5250 ms

Output speed+6 tok/s

GLM-5.284 tok/s

MiniMax M2.590 tok/s

Input price+$0.97/1M

GLM-5.2$1.19/1M

MiniMax M2.5$0.22/1M

Output price+$2.84/1M

GLM-5.2$3.74/1M

MiniMax M2.5$0.9/1M

Context window+844k

GLM-5.21M

MiniMax M2.5205k

All GLM-5.2 matchups →|All MiniMax M2.5 matchups →

Benchmark	GLM-5.2	MiniMax M2.5	Advantage Delta
Preference Elo	1,492 lmarena · Aug 17, 2026	1,478 lmarena · Aug 17, 2026	+14
Coding Elo	1,504 lmarena · Aug 17, 2026	1,536 lmarena · Aug 17, 2026	+32
LiveBench	65.2% livebench · Aug 17, 2026	64.4% livebench · Aug 17, 2026	+0.8%
SWE-bench	69.3% swebench · Aug 17, 2026	75.8% swebench · Aug 17, 2026	+6.5%
GPQA Diamond	79.5% seed-bootstrap · Aug 1, 2026	76.2% seed-bootstrap · Aug 1, 2026	+3.3%
Time to first token	270 ms seed-bootstrap · Aug 1, 2026	250 ms seed-bootstrap · Aug 1, 2026	+20 ms
Output speed	84 tok/s seed-bootstrap · Aug 1, 2026	90 tok/s seed-bootstrap · Aug 1, 2026	+6 tok/s
Input price	$1.19/1M openrouter · Aug 17, 2026	$0.22/1M openrouter · Aug 17, 2026	+$0.97/1M
Output price	$3.74/1M openrouter · Aug 17, 2026	$0.9/1M openrouter · Aug 17, 2026	+$2.84/1M
Context window	1M openrouter · Aug 17, 2026	205k openrouter · Aug 17, 2026	+844k

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 78% 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$97.75 / mo

In: $41.65Out: $56.1

MiniMax M2.5$21.20 / mo

In: $7.7Out: $13.5

Estimated Cost Delta

MiniMax M2.5 is estimated to save $76.55/month ($919/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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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

Zhipu

GLM-5.2

Elo 1,492

SWE-bench69.3%

Speed (tok/s)84 tok/s

Input / 1M Tokens$1.19/1M

Output / 1M Tokens$3.74/1M

MiniMax

MiniMax M2.5

Elo 1,478

SWE-bench75.8%

Speed (tok/s)90 tok/s

Input / 1M Tokens$0.22/1M

Output / 1M Tokens$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 $3.74/1M. 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.

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GLM-5.2 vs MiniMax M2.5 benchmark

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect

Percentile 0–100

Benchmark

GLM-5.2

MiniMax M2.5

Advantage Delta

Preference Elo

1,492

1,478

+14

Coding Elo

1,504

1,536

+32

LiveBench

65.2%

64.4%

+0.8%

SWE-bench

69.3%

75.8%

+6.5%

GPQA Diamond

79.5%

76.2%

+3.3%

Time to first token

270 ms

250 ms

+20 ms

Output speed

84 tok/s

90 tok/s

+6 tok/s

Input price

$1.19/1M

$0.22/1M

+$0.97/1M

Output price

$3.74/1M

$0.9/1M

+$2.84/1M

Context window

205k