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Every score has a dated snapshot.

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  3. GLM-5.3 vs MiniMax M2.5

Pairwise benchmark snapshot · Aug 17, 2026

GLM-5.3 vs MiniMax M2.5 benchmark

In this head-to-head showdown, GLM-5.3 delivers higher overall intelligence and human-preferred responses (Elo 1,558 vs 1,478), while GLM-5.3 leads in SWE-bench software engineering benchmarks (76.4%), while MiniMax M2.5 is more budget-friendly at $0.9/1M per 1M output tokens, while GLM-5.3 provides faster response streaming (90 tok/s). Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Choose GLM-5.3 if your priority is peak reasoning, complex code generation, and top preference Elo. Choose MiniMax M2.5 if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Verified Head-to-Head Advantage Breakdown

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

GLM-5.3 (5)MiniMax M2.5 (4)
GLM-5.3
5 of 9 Wins
✓Preference Elo✓Coding Elo✓LiveBench✓SWE-bench✓GPQA Diamond
MiniMax M2.5
4 of 9 Wins
✓Time to first token✓Input price✓Output price✓Context window
Zhipu
Leads 5 of 9 metrics
GLM-5.3

Z.ai Aug 14 2026 post-train of the GLM-5.2 744B base. Coding-plan live; open weights promised after a two-week safety review (z.ai/blog/glm-5.3).

Elo 1,558$1.8/1M out
MiniMax
Leads 4 of 9 metrics
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
Top Rival Showdowns for GLM-5.3
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference LeaderGLM-5.3 Wins

GLM-5.3

Δ 80 Arena Elo pts

Throughput LeaderGLM-5.3 Wins

GLM-5.3

90 tok/s

Value per Dollar LeaderMiniMax M2.5 Wins

MiniMax M2.5

$0.8999999999999999 / 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
Percentile 0–100
Head-to-Head Comparison

Overall Matchup Breakdown

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

GLM-5.3 (5)vsMiniMax M2.5 (4)
GLM-5.3: 5W (56%)Overall: GLM-5.3MiniMax M2.5: 4W (44%)
← GLM-5.31 tiesMiniMax M2.5 →
🏆GLM-5.3(5/5)

Intelligence & Reasoning

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

Benchmark
GLM-5.3vsMiniMax M2.5
Preference Elo
1,558vs1,478+80
Coding Elo
1,586vs1,536+50
SWE-bench
76.4%vs75.8%+0.6%
LiveBench
70.8%vs64.4%+6.4%
GPQA Diamond
83.2%vs76.2%+7%
GLM-5.3: 5WMiniMax M2.5: 0W
🏆MiniMax M2.5(1/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
GLM-5.3vsMiniMax M2.5
Output speed
90 tok/svs90 tok/s
Time to first token
255 msvs250 ms+5 ms
GLM-5.3: 0WMiniMax M2.5: 1W
🏆MiniMax M2.5(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
GLM-5.3vsMiniMax M2.5
Output price
$1.8/1Mvs$0.9/1M+$0.9/1M
Input price
$0.5/1Mvs$0.22/1M+$0.28/1M
Context window
200kvs205k+5k
GLM-5.3: 0WMiniMax M2.5: 3W

Side-by-Side Benchmark Matrix

Preference Elo+80
GLM-5.31,558
lmarena · Aug 16, 2026
MiniMax M2.51,478
lmarena · Aug 17, 2026
Coding Elo+50
GLM-5.31,586
lmarena · Aug 16, 2026
MiniMax M2.51,536
lmarena · Aug 17, 2026
LiveBench+6.4%
GLM-5.370.8%
livebench · Aug 16, 2026
MiniMax M2.564.4%
livebench · Aug 17, 2026
SWE-bench+0.6%
GLM-5.376.4%
swebench · Aug 16, 2026
MiniMax M2.575.8%
swebench · Aug 17, 2026
GPQA Diamond+7%
GLM-5.383.2%
seed-bootstrap · Aug 16, 2026
MiniMax M2.576.2%
seed-bootstrap · Aug 1, 2026
Time to first token+5 ms
GLM-5.3255 ms
seed-bootstrap · Aug 16, 2026
MiniMax M2.5250 ms
seed-bootstrap · Aug 1, 2026
Output speed
GLM-5.390 tok/s
seed-bootstrap · Aug 16, 2026
MiniMax M2.590 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$0.28/1M
GLM-5.3$0.5/1M
seed-bootstrap · Aug 16, 2026
MiniMax M2.5$0.22/1M
openrouter · Aug 17, 2026
Output price+$0.9/1M
GLM-5.3$1.8/1M
seed-bootstrap · Aug 16, 2026
MiniMax M2.5$0.9/1M
openrouter · Aug 17, 2026
Context window+5k
GLM-5.3200k
seed-bootstrap · Aug 16, 2026
MiniMax M2.5205k
openrouter · Aug 17, 2026
BenchmarkGLM-5.3MiniMax M2.5Advantage Delta
Preference Elo
1,558
lmarena · Aug 16, 2026
1,478
lmarena · Aug 17, 2026
+80
Coding Elo
1,586
lmarena · Aug 16, 2026
1,536
lmarena · Aug 17, 2026
+50
LiveBench
70.8%
livebench · Aug 16, 2026
64.4%
livebench · Aug 17, 2026
+6.4%
SWE-bench
76.4%
swebench · Aug 16, 2026
75.8%
swebench · Aug 17, 2026
+0.6%
GPQA Diamond
83.2%
seed-bootstrap · Aug 16, 2026
76.2%
seed-bootstrap · Aug 1, 2026
+7%
Time to first token
255 ms
seed-bootstrap · Aug 16, 2026
250 ms
seed-bootstrap · Aug 1, 2026
+5 ms
Output speed
90 tok/s
seed-bootstrap · Aug 16, 2026
90 tok/s
seed-bootstrap · Aug 1, 2026
—
Input price
$0.5/1M
seed-bootstrap · Aug 16, 2026
$0.22/1M
openrouter · Aug 17, 2026
+$0.28/1M
Output price
$1.8/1M
seed-bootstrap · Aug 16, 2026
$0.9/1M
openrouter · Aug 17, 2026
+$0.9/1M
Context window
200k
seed-bootstrap · Aug 16, 2026
205k
openrouter · Aug 17, 2026
+5k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 52% 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-5.3$44.50 / mo
In: $17.5Out: $27
MiniMax M2.5$21.20 / mo
In: $7.7Out: $13.5
Estimated Cost Delta

MiniMax M2.5 is estimated to save $23.30/month ($280/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    GLM-5.3:Pick GLM-5.3 when repo-level coding accuracy is the constraint.
  • 2
    MiniMax M2.5:Pick MiniMax M2.5 when you are optimizing output cost.
  • 3
    MiniMax M2.5:Pick MiniMax M2.5 when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsGLM-5.3

Higher SWE-bench (76.4%).

High-volume chatMiniMax M2.5

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

Voice / low-latency UIMiniMax M2.5

Lower TTFT (250 ms).

Long-document RAGMiniMax M2.5

Larger window (205k).

Screenshots / visionGLM-5.3

GLM-5.3 is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsGLM-5.3Higher SWE-bench (76.4%).
High-volume chatMiniMax M2.5Lower output list price ($0.9/1M).
Voice / low-latency UIMiniMax M2.5Lower TTFT (250 ms).
Long-document RAGMiniMax M2.5Larger window (205k).
Screenshots / visionGLM-5.3GLM-5.3 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchAug 14, 2026

GLM-5.3 (Aug 14): Z.ai post-train of the 5.2 744B base

Coding-plan live; open weights promised after a two-week safety review. Newest Zhipu row.

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.

Community Sentiment

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Zhipu

GLM-5.3

Elo 1,558
SWE-bench76.4%
Speed (tok/s)90 tok/s
Input / 1M Tokens$0.5/1M
Output / 1M Tokens$1.8/1M
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-5.3 or MiniMax M2.5?
GLM-5.3 has the higher preference Elo in our latest snapshot (1,558). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, GLM-5.3 or MiniMax M2.5?
GLM-5.3 leads SWE-bench at 76.4% vs 75.8%. 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 $1.8/1M. Input prices and retry rates still move the real bill.
Which is faster, GLM-5.3 or MiniMax M2.5?
MiniMax M2.5 has the lower time-to-first-token (250 ms vs 255 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
MiniMax M2.5 accepts 205k tokens versus 200k.
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. GLM-5.3 and MiniMax M2.5 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Aug 14, 2026

    GLM-5.3 (Aug 14): Z.ai post-train of the 5.2 744B base

  • launch · Jun 18, 2026

    GLM-5.2 remains the prior Zhipu flagship for upgrade pairs

  • launch · Feb 12, 2026

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

Similar Head-to-Head Comparisons

All GLM-5.3 matchups →|All MiniMax M2.5 matchups →
GLM-5.3 vs Z.ai: GLM 5V Turbo (previous glm)GLM-5.2 vs MiniMax M2.5GPT-5 vs GLM-5.3Claude Sonnet 5 vs GLM-5.3Z.ai: GLM 5V Turbo vs MiniMax M2.5Gemini 3 Pro vs GLM-5.3