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Every score has a dated snapshot.

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  3. Gemini 1.5 Pro vs GLM-5V Turbo

Pairwise benchmark snapshot · Aug 1, 2026

Gemini 1.5 Pro vs GLM-5V Turbo benchmark

In this head-to-head showdown, GLM-5V Turbo delivers higher overall intelligence and human-preferred responses (Elo 1,475 vs 1,260), while GLM-5V Turbo leads in SWE-bench software engineering benchmarks (65.2%), while GLM-5V Turbo is more budget-friendly at $0.6/1M 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: GLM-5V Turbo holds the advantage over Gemini 1.5 Pro in overall benchmark performance and human evaluation rankings. Choose GLM-5V Turbo for demanding workloads, or review the breakdown below to compare coding and pricing metrics.
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Verified Head-to-Head Advantage Breakdown

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

Gemini 1.5 Pro (1)GLM-5V Turbo (8)
Gemini 1.5 Pro
1 of 9 Wins
✓Context window
GLM-5V Turbo
8 of 9 Wins
✓Preference Elo✓LiveBench✓SWE-bench✓GPQA Diamond✓Time to first token✓Output speed✓Input price✓Output price
Google
Leads 1 of 9 metrics
Gemini 1.5 Pro

First million-token Gemini Pro. Baseline for 1.5 vs 2.5 vs 3.x Pro.

Elo 1,260$5/1M out
Zhipu
Leads 8 of 9 metrics
GLM-5V Turbo

Zhipu high-throughput multimodal vision model with sub-second latency and competitive coding.

5V TurboElo 1,475$0.6/1M out
Top Rival Showdowns for Gemini 1.5 Pro
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference LeaderGLM-5V Turbo Wins

GLM-5V Turbo

Δ 215 Arena Elo pts

Throughput LeaderGLM-5V Turbo Wins

GLM-5V Turbo

112 tok/s

Value per Dollar LeaderGLM-5V Turbo Wins

GLM-5V Turbo

$0.6 / 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.

Gemini 1.5 Pro (1)vsGLM-5V Turbo (9)
Gemini 1.5 Pro: 1W (10%)Overall: GLM-5V TurboGLM-5V Turbo: 9W (90%)
← Gemini 1.5 ProGLM-5V Turbo →
🏆GLM-5V Turbo(5/5)

Intelligence & Reasoning

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

Benchmark
Gemini 1.5 ProvsGLM-5V Turbo
Preference Elo
1,260vs1,475+215
Coding Elo
—vs1,482
SWE-bench
38%vs65.2%+27.2%
LiveBench
49.2%vs63.8%+14.6%
GPQA Diamond
58%vs77.4%+19.4%
Gemini 1.5 Pro: 0WGLM-5V Turbo: 5W
🏆GLM-5V Turbo(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Gemini 1.5 ProvsGLM-5V Turbo
Output speed
70 tok/svs112 tok/s+42 tok/s
Time to first token
240 msvs180 ms+60 ms
Gemini 1.5 Pro: 0WGLM-5V Turbo: 2W
🏆GLM-5V Turbo(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Gemini 1.5 ProvsGLM-5V Turbo
Output price
$5/1Mvs$0.6/1M+$4.4/1M
Input price
$1.25/1Mvs$0.15/1M+$1.1/1M
Context window
2Mvs128k+1.9M
Gemini 1.5 Pro: 1WGLM-5V Turbo: 2W

Side-by-Side Benchmark Matrix

Preference Elo+215
Gemini 1.5 Pro1,260
seed-bootstrap · Aug 1, 2026
GLM-5V Turbo1,475
seed-bootstrap · Aug 1, 2026
Coding Elo
Gemini 1.5 Pro—
GLM-5V Turbo1,482
seed-bootstrap · Aug 1, 2026
LiveBench+14.6%
Gemini 1.5 Pro49.2%
seed-bootstrap · Aug 1, 2026
GLM-5V Turbo63.8%
seed-bootstrap · Aug 1, 2026
SWE-bench+27.2%
Gemini 1.5 Pro38%
seed-bootstrap · Aug 1, 2026
GLM-5V Turbo65.2%
seed-bootstrap · Aug 1, 2026
GPQA Diamond+19.4%
Gemini 1.5 Pro58%
seed-bootstrap · Aug 1, 2026
GLM-5V Turbo77.4%
seed-bootstrap · Aug 1, 2026
Time to first token+60 ms
Gemini 1.5 Pro240 ms
seed-bootstrap · Aug 1, 2026
GLM-5V Turbo180 ms
seed-bootstrap · Aug 1, 2026
Output speed+42 tok/s
Gemini 1.5 Pro70 tok/s
seed-bootstrap · Aug 1, 2026
GLM-5V Turbo112 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$1.1/1M
Gemini 1.5 Pro$1.25/1M
seed-bootstrap · Aug 1, 2026
GLM-5V Turbo$0.15/1M
seed-bootstrap · Aug 1, 2026
Output price+$4.4/1M
Gemini 1.5 Pro$5/1M
seed-bootstrap · Aug 1, 2026
GLM-5V Turbo$0.6/1M
seed-bootstrap · Aug 1, 2026
Context window+1.9M
Gemini 1.5 Pro2M
seed-bootstrap · Aug 1, 2026
GLM-5V Turbo128k
seed-bootstrap · Aug 1, 2026
BenchmarkGemini 1.5 ProGLM-5V TurboAdvantage Delta
Preference Elo
1,260
seed-bootstrap · Aug 1, 2026
1,475
seed-bootstrap · Aug 1, 2026
+215
Coding Elo—
1,482
seed-bootstrap · Aug 1, 2026
—
LiveBench
49.2%
seed-bootstrap · Aug 1, 2026
63.8%
seed-bootstrap · Aug 1, 2026
+14.6%
SWE-bench
38%
seed-bootstrap · Aug 1, 2026
65.2%
seed-bootstrap · Aug 1, 2026
+27.2%
GPQA Diamond
58%
seed-bootstrap · Aug 1, 2026
77.4%
seed-bootstrap · Aug 1, 2026
+19.4%
Time to first token
240 ms
seed-bootstrap · Aug 1, 2026
180 ms
seed-bootstrap · Aug 1, 2026
+60 ms
Output speed
70 tok/s
seed-bootstrap · Aug 1, 2026
112 tok/s
seed-bootstrap · Aug 1, 2026
+42 tok/s
Input price
$1.25/1M
seed-bootstrap · Aug 1, 2026
$0.15/1M
seed-bootstrap · Aug 1, 2026
+$1.1/1M
Output price
$5/1M
seed-bootstrap · Aug 1, 2026
$0.6/1M
seed-bootstrap · Aug 1, 2026
+$4.4/1M
Context window
2M
seed-bootstrap · Aug 1, 2026
128k
seed-bootstrap · Aug 1, 2026
+1.9M
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 88% with 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 1.5 Pro$118.75 / mo
In: $43.75Out: $75
GLM-5V Turbo$14.25 / mo
In: $5.25Out: $9
Estimated Cost Delta

GLM-5V Turbo is estimated to save $104.50/month ($1,254/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    GLM-5V Turbo:Pick GLM-5V Turbo when repo-level coding accuracy is the constraint.
  • 2
    GLM-5V Turbo:Pick GLM-5V Turbo when time-to-first-token matters more than peak Elo.
  • 3
    Gemini 1.5 Pro:Pick Gemini 1.5 Pro for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsGLM-5V Turbo

Higher SWE-bench (65.2%).

High-volume chatGLM-5V Turbo

Lower output list price ($0.6/1M).

Voice / low-latency UIGLM-5V Turbo

Lower TTFT (180 ms).

Long-document RAGGemini 1.5 Pro

Larger window (2M).

Screenshots / visionGLM-5V Turbo

Both accept images. Defaulting to the higher-Elo side (GLM-5V Turbo).

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsGLM-5V TurboHigher SWE-bench (65.2%).
High-volume chatGLM-5V TurboLower output list price ($0.6/1M).
Voice / low-latency UIGLM-5V TurboLower TTFT (180 ms).
Long-document RAGGemini 1.5 ProLarger window (2M).
Screenshots / visionGLM-5V TurboBoth accept images. Defaulting to the higher-Elo side (GLM-5V Turbo).
Community Sentiment

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Google

Gemini 1.5 Pro

Elo 1,260
SWE-bench38%
Speed (tok/s)70 tok/s
Input / 1M Tokens$1.25/1M
Output / 1M Tokens$5/1M
Zhipu

GLM-5V Turbo

Elo 1,475
SWE-bench65.2%
Speed (tok/s)112 tok/s
Input / 1M Tokens$0.15/1M
Output / 1M Tokens$0.6/1M

Frequently Asked Questions

Which is better overall, Gemini 1.5 Pro or GLM-5V Turbo?
GLM-5V Turbo has the higher preference Elo in our latest snapshot (1,475). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Gemini 1.5 Pro or GLM-5V Turbo?
GLM-5V Turbo leads SWE-bench at 65.2% vs 38%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
GLM-5V Turbo output tokens are $0.6/1M versus $5/1M. Input prices and retry rates still move the real bill.
Which is faster, Gemini 1.5 Pro or GLM-5V Turbo?
GLM-5V Turbo has the lower time-to-first-token (180 ms vs 240 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
Gemini 1.5 Pro accepts 2M tokens versus 128k.
Can I self-host either model?
GLM-5V Turbo 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. Gemini 1.5 Pro and GLM-5V Turbo Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Gemini 1.5 Pro matchups →|All GLM-5V Turbo matchups →
Gemini 1.5 Pro vs Gemini 2.5 Pro (next gemini-pro)GLM-5V Turbo vs GLM-5.2 (previous glm)GLM-5V Turbo vs GLM-5.3 (next glm)Gemini 3 Pro vs GLM-5V TurboGemini 3 Flash vs GLM-5V TurboGemini 2.0 Flash Thinking vs GLM-5V Turbo