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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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  3. Google: Gemini 3.1 Pro Preview (batch) vs GLM-5.2

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

Google: Gemini 3.1 Pro Preview (batch) vs GLM-5.2 benchmark

In this head-to-head showdown, GLM-5.2 is more budget-friendly at $3.74/1M 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 Google: Gemini 3.1 Pro Preview (batch) if your priority is peak reasoning, complex code generation, and top preference Elo. Choose GLM-5.2 if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Google
Google: Gemini 3.1 Pro Preview (batch)

Auto-discovered from OpenRouter (google/gemini-3.1-pro-preview:batch). Preview until a second source matches.

$6/1M out
Zhipu
GLM-5.2

Zhipu flagship. Strong Chinese/English coding and agents.

GLM-5.2Elo 1,492$3.74/1M out
Top Rival Showdowns for Google: Gemini 3.1 Pro Preview (batch)
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar Leader

GLM-5.2

$3.74 / 1M output

Capability Percentiles

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

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 AdvantageGLM-5.2 5/6
Head-to-Head Comparison

Overall Matchup Breakdown

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

Google: Gemini 3.1 Pro Preview (batch) (1)vsGLM-5.2 (8)
Google: Gemini 3.1 Pro Preview (batch): 1W (11%)Overall: GLM-5.2GLM-5.2: 8W (89%)
← Google: Gemini 3.1 Pro Preview (batch)1 tiesGLM-5.2 →
GLM-5.2 (5/5)

Intelligence & Reasoning

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

Preference Elo
—vs1,492
Coding Elo
—vs1,504
SWE-bench
—vs69.3%
LiveBench
—vs65.2%
GPQA Diamond
—vs79.5%
Google: Gemini 3.1 Pro Preview (batch): 0WGLM-5.2: 5W
GLM-5.2 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
—vs84 tok/s
Time to first token
—vs270 ms
Google: Gemini 3.1 Pro Preview (batch): 0WGLM-5.2: 2W
Tied (1/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$6/1Mvs$3.74/1M
Input price
$1/1Mvs$1.19/1M
Context window
1Mvs1M
Google: Gemini 3.1 Pro Preview (batch): 1WGLM-5.2: 1W

Side-by-Side Benchmark Matrix

Preference Elo
Google: Gemini 3.1 Pro Preview (batch)—
GLM-5.21,492
lmarena · Aug 17, 2026
Coding Elo
Google: Gemini 3.1 Pro Preview (batch)—
GLM-5.21,504
lmarena · Aug 17, 2026
LiveBench
Google: Gemini 3.1 Pro Preview (batch)—
GLM-5.265.2%
livebench · Aug 17, 2026
SWE-bench
Google: Gemini 3.1 Pro Preview (batch)—
GLM-5.269.3%
swebench · Aug 17, 2026
GPQA Diamond
Google: Gemini 3.1 Pro Preview (batch)—
GLM-5.279.5%
seed-bootstrap · Aug 1, 2026
Time to first token
Google: Gemini 3.1 Pro Preview (batch)—
GLM-5.2270 ms
seed-bootstrap · Aug 1, 2026
Output speed
Google: Gemini 3.1 Pro Preview (batch)—
GLM-5.284 tok/s
seed-bootstrap · Aug 1, 2026
Input priceGoogle: Gemini 3.1 Pro Preview (batch) (+$0.19/1M)
Google: Gemini 3.1 Pro Preview (batch)$1/1M
openrouter · Aug 17, 2026
GLM-5.2$1.19/1M
openrouter · Aug 17, 2026
Output priceGLM-5.2 (+$2.26/1M)
Google: Gemini 3.1 Pro Preview (batch)$6/1M
openrouter · Aug 17, 2026
GLM-5.2$3.74/1M
openrouter · Aug 17, 2026
Context window
Google: Gemini 3.1 Pro Preview (batch)1M
openrouter · Aug 17, 2026
GLM-5.21M
openrouter · Aug 17, 2026
BenchmarkGoogle: Gemini 3.1 Pro Preview (batch)GLM-5.2Advantage 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
$1/1M
openrouter · Aug 17, 2026
$1.19/1M
openrouter · Aug 17, 2026
Google: Gemini 3.1 Pro Preview (batch) (+$0.19/1M)
Output price
$6/1M
openrouter · Aug 17, 2026
$3.74/1M
openrouter · Aug 17, 2026
GLM-5.2 (+$2.26/1M)
Context window
1M
openrouter · Aug 17, 2026
1M
openrouter · Aug 17, 2026
—
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 22% with GLM-5.2
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Google: Gemini 3.1 Pro Preview (batch)$125.00 / mo
In: $35Out: $90
GLM-5.2$97.75 / mo
In: $41.65Out: $56.1
Estimated Cost Delta

GLM-5.2 is estimated to save $27.25/month ($327/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    GLM-5.2:Pick GLM-5.2 when you are optimizing output cost.
  • 2
    Google: Gemini 3.1 Pro Preview (batch):Pick Google: Gemini 3.1 Pro Preview (batch) for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatGLM-5.2

Lower output list price ($3.74/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGoogle: Gemini 3.1 Pro Preview (batch)

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 chatGLM-5.2Lower output list price ($3.74/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGGoogle: Gemini 3.1 Pro Preview (batch)Larger 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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LIVE
VS
Google

Google: Gemini 3.1 Pro Preview (batch)

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$6/1M
Zhipu

GLM-5.2

Elo 1,492
LiveBench65.2%
SWE-bench69.3%
Speed84 tok/s
Output cost$3.74/1M

Frequently Asked Questions

Which is better overall, Google: Gemini 3.1 Pro Preview (batch) or GLM-5.2?
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, Google: Gemini 3.1 Pro Preview (batch) or GLM-5.2?
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?
GLM-5.2 output tokens are $3.74/1M versus $6/1M. Input prices and retry rates still move the real bill.
Which is faster, Google: Gemini 3.1 Pro Preview (batch) or GLM-5.2?
We do not have TTFT for both models.
Which has the larger context window?
Google: Gemini 3.1 Pro Preview (batch) accepts 1M tokens versus 1M.
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. Google: Gemini 3.1 Pro Preview (batch) and GLM-5.2 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 Google: Gemini 3.1 Pro Preview (batch) matchups →|All GLM-5.2 matchups →
GLM-5.2 vs Z.ai: GLM 5V Turbo (next glm)Gemini 3 Pro vs GLM-5.2Gemini 3 Flash vs GLM-5.2Gemini 2.0 Flash Thinking vs GLM-5.2Gemini 3.6 Pro vs GLM-5.2Gemini 3.6 Flash vs GLM-5.2