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© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

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  2. Comparisons
  3. GLM-5.2 vs MiniMax: MiniMax M2.1

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

GLM-5.2 vs MiniMax: MiniMax M2.1 benchmark

In this head-to-head showdown, MiniMax: MiniMax M2.1 is more budget-friendly at $1.2/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Choose GLM-5.2 if your priority is peak reasoning, complex code generation, and top preference Elo. Choose MiniMax: MiniMax M2.1 if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Verified Head-to-Head Advantage Breakdown

3 direct benchmark disciplines evaluated across capability, speed, and cost

GLM-5.2 (1)MiniMax: MiniMax M2.1 (2)
GLM-5.2
1 of 3 Wins
✓Context window
MiniMax: MiniMax M2.1
2 of 3 Wins
✓Input price✓Output price
Zhipu
Leads 1 of 3 metrics
GLM-5.2

Zhipu flagship. Strong Chinese/English coding and agents.

GLM-5.2Elo 1,492$3.74/1M out
MiniMax
Leads 2 of 3 metrics
MiniMax: MiniMax M2.1

Auto-discovered from OpenRouter (minimax/minimax-m2.1). Preview until a second source matches.

$1.2/1M out

GLM-5 Series Lineage & Sibling Variants

2 models

Currently comparing GLM-5.2 vs MiniMax: MiniMax M2.1. Alternative family tiers available.

Active: GLM-5.2
GLM-5.3$1.8
Top Rival Showdowns for GLM-5.2
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderMiniMax: MiniMax M2.1 Wins

MiniMax: MiniMax M2.1

$1.2 / 1M output

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
0–100 %ile
Head-to-Head Comparison

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

GLM-5.2 (8)vsMiniMax: MiniMax M2.1 (2)
GLM-5.2: 8W (80%)Overall: GLM-5.2MiniMax: MiniMax M2.1: 2W (20%)
← GLM-5.2MiniMax: MiniMax M2.1 →
🏆GLM-5.2(5/5)

Intelligence & Reasoning

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

Benchmark
GLM-5.2vsMiniMax: MiniMax M2.1
Preference Elo
1,492vs—
Coding Elo
1,504vs—
SWE-bench
69.3%vs—
LiveBench
65.2%vs—
GPQA Diamond
79.5%vs—
GLM-5.2: 5WMiniMax: MiniMax M2.1: 0W
🏆GLM-5.2(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
GLM-5.2vsMiniMax: MiniMax M2.1
Output speed
84 tok/svs—
Time to first token
270 msvs—
GLM-5.2: 2WMiniMax: MiniMax M2.1: 0W
🏆MiniMax: MiniMax M2.1(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
GLM-5.2vsMiniMax: MiniMax M2.1
Output price
$3.74/1Mvs$1.2/1M+$2.54/1M
Input price
$1.19/1Mvs$0.3/1M+$0.89/1M
Context window
1Mvs205k+844k
GLM-5.2: 1WMiniMax: MiniMax M2.1: 2W

Side-by-Side Benchmark Matrix

Preference Elo
GLM-5.21,492
lmarena · Aug 17, 2026
MiniMax: MiniMax M2.1—
Coding Elo
GLM-5.21,504
lmarena · Aug 17, 2026
MiniMax: MiniMax M2.1—
LiveBench
GLM-5.265.2%
livebench · Aug 17, 2026
MiniMax: MiniMax M2.1—
SWE-bench
GLM-5.269.3%
swebench · Aug 17, 2026
MiniMax: MiniMax M2.1—
GPQA Diamond
GLM-5.279.5%
seed-bootstrap · Aug 1, 2026
MiniMax: MiniMax M2.1—
Time to first token
GLM-5.2270 ms
seed-bootstrap · Aug 1, 2026
MiniMax: MiniMax M2.1—
Output speed
GLM-5.284 tok/s
seed-bootstrap · Aug 1, 2026
MiniMax: MiniMax M2.1—
Input price+$0.89/1M
GLM-5.2$1.19/1M
openrouter · Aug 17, 2026
MiniMax: MiniMax M2.1$0.3/1M
openrouter · Aug 17, 2026
Output price+$2.54/1M
GLM-5.2$3.74/1M
openrouter · Aug 17, 2026
MiniMax: MiniMax M2.1$1.2/1M
openrouter · Aug 17, 2026
Context window+844k
GLM-5.21M
openrouter · Aug 17, 2026
MiniMax: MiniMax M2.1205k
openrouter · Aug 17, 2026
BenchmarkGLM-5.2MiniMax: MiniMax M2.1Advantage Delta
Preference Elo
1,492
lmarena · Aug 17, 2026
——
Coding Elo
1,504
lmarena · Aug 17, 2026
——
LiveBench
65.2%
livebench · Aug 17, 2026
——
SWE-bench
69.3%
swebench · Aug 17, 2026
——
GPQA Diamond
79.5%
seed-bootstrap · Aug 1, 2026
——
Time to first token
270 ms
seed-bootstrap · Aug 1, 2026
——
Output speed
84 tok/s
seed-bootstrap · Aug 1, 2026
——
Input price
$1.19/1M
openrouter · Aug 17, 2026
$0.3/1M
openrouter · Aug 17, 2026
+$0.89/1M
Output price
$3.74/1M
openrouter · Aug 17, 2026
$1.2/1M
openrouter · Aug 17, 2026
+$2.54/1M
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 71% with MiniMax: MiniMax M2.1
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: MiniMax M2.1$28.50 / mo
In: $10.5Out: $18
Estimated Cost Delta

MiniMax: MiniMax M2.1 is estimated to save $69.25/month ($831/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    MiniMax: MiniMax M2.1:Pick MiniMax: MiniMax M2.1 when you are optimizing output cost.
  • 2
    GLM-5.2:Pick GLM-5.2 for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMiniMax: MiniMax M2.1

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

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGLM-5.2

Larger window (1M).

Screenshots / visionGLM-5.2

GLM-5.2 is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatMiniMax: MiniMax M2.1Lower output list price ($1.2/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGGLM-5.2Larger window (1M).
Screenshots / visionGLM-5.2GLM-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.

Community Sentiment

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
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: MiniMax M2.1

Elo n/a
SWE-bench—
Speed (tok/s)205k
Input / 1M Tokens$0.3/1M
Output / 1M Tokens$1.2/1M

Frequently Asked Questions

Which is better overall, GLM-5.2 or MiniMax: MiniMax M2.1?
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, GLM-5.2 or MiniMax: MiniMax M2.1?
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 M2.1 output tokens are $1.2/1M versus $3.74/1M. Input prices and retry rates still move the real bill.
Which is faster, GLM-5.2 or MiniMax: MiniMax M2.1?
We do not have TTFT for both models.
Which has the larger context window?
GLM-5.2 accepts 1M tokens versus 205k.
Can I self-host either model?
GLM-5.2 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. GLM-5.2 and MiniMax: MiniMax M2.1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • news · Aug 16, 2026

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

  • launch · Jun 18, 2026

    GLM-5.2 remains the prior Zhipu flagship for upgrade pairs

Similar Head-to-Head Comparisons

All GLM-5.2 matchups →|All MiniMax: MiniMax M2.1 matchups →
GLM-5.2 vs Z.ai: GLM 5V Turbo (next glm)MiniMax M2.5 vs GLM-5.2GLM-5.3 vs GLM-5.2Gemini 2.0 Flash Thinking vs GLM-5.2DeepSeek V4 Flash vs GLM-5.2Gemini 3 Flash vs GLM-5.2