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  3. Gemini 3 Pro vs Z.ai: GLM 5V Turbo

Pairwise benchmark snapshot · Aug 17, 2026

Gemini 3 Pro vs Z.ai: GLM 5V Turbo benchmark

This page compares Gemini 3 Pro (Google) and Z.ai: GLM 5V Turbo (Zhipu) using the latest snapshots we have as of Aug 17, 2026. On preference Elo, Gemini 3 Pro is ahead by 77 points (1,552 vs 1,475; lmarena (Aug 17, 2026)). On SWE-bench coding, Gemini 3 Pro resolves 72.4% versus 65.2% (swebench (Aug 17, 2026)). Z.ai: GLM 5V Turbo streams faster (112 tok/s) while Z.ai: GLM 5V Turbo is the cheaper output token ($4/1M). Gemini 3 Pro has the larger context window (2M 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.

Quick answer

Gemini 3 Pro vs Z.ai: GLM 5V Turbo is a dated snapshot, not a lab score. Gemini 3 Pro leads preference Elo (1,552 vs 1,475). Gemini 3 Pro leads SWE-bench coding. Z.ai: GLM 5V Turbo is the cheaper output token. Elo is crowd preference, not an exam. Pick the column that matches the job.
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Google

Gemini 3 Pro

Google frontier multimodal model with a multi-million-token context window.

Elo 1,552$5/1M out

Zhipu

Z.ai: GLM 5V Turbo

Auto-discovered from OpenRouter (z-ai/glm-5v-turbo). Preview until a second source matches.

Elo 1,475$4/1M out
Gemini 3 Pro Inference Compute Profile
Inference-Time Compute & Reasoning EffortDynamic CoT

Gemini 3 Pro Reasoning Scaler & Token Billing Simulator

Param: thinking_budget

Reasoning models scale test-time compute by generating hidden chain-of-thought (CoT) tokens. These tokens are billed at standard output rates and directly expand latency (TTFT) in exchange for higher GPQA Diamond and SWE-bench Verified problem resolve rates.

Estimated TTFT
220 ms
1.0x (Standard eval)
CoT Thinking Tokens
~2,400
Billed as output tokens
Est. Cost / 1k Calls
$14.13
6.6x base invoice
STEM / SWE Boost
+4.8%
GPQA & SWE-bench scaling
Medium (8k tokens) Operational Profile

Balanced reasoning for coding and multimodal comprehension.

Direct Provider APIGoogle
"thinking": {
  "type": "enabled",
  "budget_tokens": 16384
}
OpenRouter Unified APIUnified Gateway
"reasoning": {
  "effort": "medium",
  "max_tokens": 2400
}

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Quick vs:vs Claude Opus 4.5vs Claude Opus 4.6vs Claude Sonnet 4.5vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Gemini 3 Pro (6)vsZ.ai: GLM 5V Turbo (4)
Gemini 3 Pro: 6W (60%)Overall: Gemini 3 ProZ.ai: GLM 5V Turbo: 4W (40%)
← Gemini 3 ProZ.ai: GLM 5V Turbo →
Gemini 3 Pro (5/5)

Intelligence & Reasoning

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

Preference Elo
1,552vs1,475
Coding Elo
1,548vs1,482
SWE-bench
72.4%vs65.2%
LiveBench
70.6%vs63.8%
GPQA Diamond
83.6%vs77.4%
Gemini 3 Pro: 5WZ.ai: GLM 5V Turbo: 0W
Z.ai: GLM 5V Turbo (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
92 tok/svs112 tok/s
Time to first token
220 msvs180 ms
Gemini 3 Pro: 0WZ.ai: GLM 5V Turbo: 2W
Z.ai: GLM 5V Turbo (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$5/1Mvs$4/1M
Input price
$1.25/1Mvs$1.2/1M
Context window
2Mvs203k
Gemini 3 Pro: 1WZ.ai: GLM 5V Turbo: 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 AdvantageGemini 3 Pro 4/6
Preference Elo

Gemini 3 Pro

77 pts advantage

Throughput Speed

Z.ai: GLM 5V Turbo

20 tok/s faster

Token Price Efficiency

Z.ai: GLM 5V Turbo

$1.00/1M cheaper

Full Benchmark Score Matrix

—
Elo
High is better
+5%1,552
EloHigh is better
1,475
Code Elo
High is better
+4%1,548
Code EloHigh is better
1,482
LiveBench
High is better
+11%70.6%
LiveBenchHigh is better
63.8%
SWE-bench
High is better
+11%72.4%
SWE-benchHigh is better
65.2%
GPQA
High is better
+8%83.6%
GPQAHigh is better
77.4%
TTFT
Low is better
220 ms
TTFTLow is better
180 ms+22%
Speed
High is better
92 tok/s
SpeedHigh is better
112 tok/s+22%
In $
Low is better
$1.25 / 1M
In $Low is better
$1.20 / 1M+4%
Out $
Low is better
$5.00 / 1M
Out $Low is better
$4.00 / 1M+25%
Context
High is better
+886%2M
ContextHigh is better
203k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 14% with Z.ai: GLM 5V Turbo
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Gemini 3 Pro$118.75 / mo
In: $43.75Out: $75
Z.ai: GLM 5V Turbo$102.00 / mo
In: $42Out: $60
Estimated Cost Delta

Z.ai: GLM 5V Turbo is estimated to save $16.75/month ($201/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Gemini 3 Pro:Pick Gemini 3 Pro when repo-level coding accuracy is the constraint.
  • 2
    Z.ai: GLM 5V Turbo:Pick Z.ai: GLM 5V Turbo when you are optimizing output cost.
  • 3
    Z.ai: GLM 5V Turbo:Pick Z.ai: GLM 5V Turbo when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsGemini 3 Pro

Higher SWE-bench (72.4%).

High-volume chatZ.ai: GLM 5V Turbo

Lower output list price ($4/1M).

Voice / low-latency UIZ.ai: GLM 5V Turbo

Lower TTFT (180 ms).

Long-document RAGGemini 3 Pro

Larger window (2M).

Screenshots / visionGemini 3 Pro

Both accept images. Defaulting to the higher-Elo side (Gemini 3 Pro).

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsGemini 3 ProHigher SWE-bench (72.4%).
High-volume chatZ.ai: GLM 5V TurboLower output list price ($4/1M).
Voice / low-latency UIZ.ai: GLM 5V TurboLower TTFT (180 ms).
Long-document RAGGemini 3 ProLarger window (2M).
Screenshots / visionGemini 3 ProBoth accept images. Defaulting to the higher-Elo side (Gemini 3 Pro).

Related Editorial Dispatches & Benchmark Notes

View all news
launchMar 15, 2026

Gemini 3 Pro’s multi-million context is still a 2026 RAG shortlist

March 2026 Google frontier multimodal with a 2M window. 3.6 Pro is newer; 3 Pro stays as the original 3.x Pro row.

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LIVE
VS
Google

Gemini 3 Pro

Elo 1,552
LiveBench70.6%
SWE-bench72.4%
Speed92 tok/s
Output cost$5/1M
Zhipu

Z.ai: GLM 5V Turbo

Elo 1,475
LiveBench63.8%
SWE-bench65.2%
Speed112 tok/s
Output cost$4/1M

Frequently Asked Questions

Which is better overall, Gemini 3 Pro or Z.ai: GLM 5V Turbo?
Gemini 3 Pro has the higher preference Elo in our latest snapshot (1,552). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Gemini 3 Pro or Z.ai: GLM 5V Turbo?
Gemini 3 Pro leads SWE-bench at 72.4% vs 65.2%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
Z.ai: GLM 5V Turbo output tokens are $4/1M versus $5/1M. Input prices and retry rates still move the real bill.
Which is faster, Gemini 3 Pro or Z.ai: GLM 5V Turbo?
Z.ai: GLM 5V Turbo has the lower time-to-first-token (180 ms vs 220 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
Gemini 3 Pro accepts 2M tokens versus 203k.
Can I self-host either model?
Neither model is marked open-weights here. You are comparing hosted APIs.
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. Gemini 3 Pro and Z.ai: GLM 5V Turbo Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Mar 15, 2026

    Gemini 3 Pro’s multi-million context is still a 2026 RAG shortlist

Similar Head-to-Head Comparisons

All Gemini 3 Pro matchups →|All Z.ai: GLM 5V Turbo matchups →
Gemini 3 Pro vs Gemini 2.5 Pro (previous gemini-pro)Gemini 3 Pro vs Gemini 3.6 Pro (next gemini-pro)Z.ai: GLM 5V Turbo vs GLM-5.2 (previous glm)Z.ai: GLM 5V Turbo vs GLM-5.3 (next glm)GLM-5.3 vs Gemini 3 ProGemini 3.7 Flash vs Gemini 3 Pro