Pairwise benchmark snapshot · Aug 1, 2026

GLM-5V Turbo vs Llama 3.1 70B benchmark

Name: GLM-5V Turbo vs Llama 3.1 70B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

In this head-to-head showdown, GLM-5V Turbo delivers higher overall intelligence and human-preferred responses (Elo 1,475 vs 1,240), while GLM-5V Turbo leads in SWE-bench software engineering benchmarks (65.2%), while Llama 3.1 70B is more budget-friendly at $0.4/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Share Analysis:

Verified Head-to-Head Advantage Breakdown

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

GLM-5V Turbo (5)Llama 3.1 70B (3)

GLM-5V Turbo

5 of 8 Wins

✓Preference Elo✓LiveBench✓SWE-bench✓GPQA Diamond✓Input price

Llama 3.1 70B

3 of 8 Wins

✓Time to first token✓Output speed✓Output price

Zhipu

Leads 5 of 8 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

GLM-5 Series Lineage & Sibling Variants

3 models

Currently comparing GLM-5V Turbo vs Llama 3.1 70B. Alternative family tiers available.

Active: GLM-5V Turbo

GLM-5.2$1.8 GLM-5.3$1.8

Top Rival Showdowns for GLM-5V Turbo

All Matchups

Compare vs:vs Claude Opus 4.5 vs GPT-5 vs Gemini 3 Pro vs Grok 4.6 vs DeepSeek V4 Pro

Preference LeaderGLM-5V Turbo Wins

GLM-5V Turbo

Δ 235 Arena Elo pts

Throughput LeaderLlama 3.1 70B Wins

Llama 3.1 70B

125 tok/s

Value per Dollar LeaderLlama 3.1 70B Wins

Llama 3.1 70B

$0.4 / 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-5V Turbo (6)vsLlama 3.1 70B (3)

GLM-5V Turbo: 6W (67%)Overall: GLM-5V TurboLlama 3.1 70B: 3W (33%)

← GLM-5V Turbo1 tiesLlama 3.1 70B →

🏆GLM-5V Turbo(5/5)

Intelligence & Reasoning

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

Benchmark

GLM-5V TurbovsLlama 3.1 70B

Preference Elo

1,475vs1,240+235

Coding Elo

1,482vs—

SWE-bench

65.2%vs40.2%+25%

LiveBench

63.8%vs46.8%+17%

GPQA Diamond

77.4%vs48%+29.4%

GLM-5V Turbo: 5WLlama 3.1 70B: 0W

🏆Llama 3.1 70B(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark

GLM-5V TurbovsLlama 3.1 70B

Output speed

112 tok/svs125 tok/s+13 tok/s

Time to first token

180 msvs170 ms+10 ms

GLM-5V Turbo: 0WLlama 3.1 70B: 2W

Tied (1-1)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark

GLM-5V TurbovsLlama 3.1 70B

Output price

$0.6/1Mvs$0.4/1M+$0.2/1M

Input price

$0.15/1Mvs$0.35/1M+$0.2/1M

Context window

128kvs128k

GLM-5V Turbo: 1WLlama 3.1 70B: 1W

Side-by-Side Benchmark Matrix

Preference Elo+235

GLM-5V Turbo1,475

seed-bootstrap · Aug 1, 2026

Llama 3.1 70B1,240

seed-bootstrap · Aug 1, 2026

Coding Elo

GLM-5V Turbo1,482

seed-bootstrap · Aug 1, 2026

Llama 3.1 70B—

LiveBench+17%

GLM-5V Turbo63.8%

seed-bootstrap · Aug 1, 2026

Llama 3.1 70B46.8%

seed-bootstrap · Aug 1, 2026

SWE-bench+25%

GLM-5V Turbo65.2%

seed-bootstrap · Aug 1, 2026

Llama 3.1 70B40.2%

seed-bootstrap · Aug 1, 2026

GPQA Diamond+29.4%

GLM-5V Turbo77.4%

seed-bootstrap · Aug 1, 2026

Llama 3.1 70B48%

seed-bootstrap · Aug 1, 2026

Time to first token+10 ms

GLM-5V Turbo180 ms

seed-bootstrap · Aug 1, 2026

Llama 3.1 70B170 ms

seed-bootstrap · Aug 1, 2026

Output speed+13 tok/s

GLM-5V Turbo112 tok/s

seed-bootstrap · Aug 1, 2026

Llama 3.1 70B125 tok/s

seed-bootstrap · Aug 1, 2026

Input price+$0.2/1M

GLM-5V Turbo$0.15/1M

seed-bootstrap · Aug 1, 2026

Llama 3.1 70B$0.35/1M

seed-bootstrap · Aug 1, 2026

Output price+$0.2/1M

GLM-5V Turbo$0.6/1M

seed-bootstrap · Aug 1, 2026

Llama 3.1 70B$0.4/1M

seed-bootstrap · Aug 1, 2026

Context window

GLM-5V Turbo128k

seed-bootstrap · Aug 1, 2026

Llama 3.1 70B128k

seed-bootstrap · Aug 1, 2026

Benchmark	GLM-5V Turbo	Llama 3.1 70B	Advantage Delta
Preference Elo	1,475 seed-bootstrap · Aug 1, 2026	1,240 seed-bootstrap · Aug 1, 2026	+235
Coding Elo	1,482 seed-bootstrap · Aug 1, 2026	—	—
LiveBench	63.8% seed-bootstrap · Aug 1, 2026	46.8% seed-bootstrap · Aug 1, 2026	+17%
SWE-bench	65.2% seed-bootstrap · Aug 1, 2026	40.2% seed-bootstrap · Aug 1, 2026	+25%
GPQA Diamond	77.4% seed-bootstrap · Aug 1, 2026	48% seed-bootstrap · Aug 1, 2026	+29.4%
Time to first token	180 ms seed-bootstrap · Aug 1, 2026	170 ms seed-bootstrap · Aug 1, 2026	+10 ms
Output speed	112 tok/s seed-bootstrap · Aug 1, 2026	125 tok/s seed-bootstrap · Aug 1, 2026	+13 tok/s
Input price	$0.15/1M seed-bootstrap · Aug 1, 2026	$0.35/1M seed-bootstrap · Aug 1, 2026	+$0.2/1M
Output price	$0.6/1M seed-bootstrap · Aug 1, 2026	$0.4/1M seed-bootstrap · Aug 1, 2026	+$0.2/1M
Context window	128k seed-bootstrap · Aug 1, 2026	128k seed-bootstrap · Aug 1, 2026	—

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 22% 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)

GLM-5V Turbo$14.25 / mo

In: $5.25Out: $9

Llama 3.1 70B$18.25 / mo

In: $12.25Out: $6

Estimated Cost Delta

GLM-5V Turbo is estimated to save $4.00/month ($48/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
Llama 3.1 70B:Pick Llama 3.1 70B when you are optimizing output cost.
3
Llama 3.1 70B:Pick Llama 3.1 70B when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsGLM-5V Turbo

Higher SWE-bench (65.2%).

High-volume chatLlama 3.1 70B

Lower output list price ($0.4/1M).

Voice / low-latency UILlama 3.1 70B

Lower TTFT (170 ms).

Long-document RAGGLM-5V Turbo

Larger window (128k).

Screenshots / visionGLM-5V Turbo

GLM-5V Turbo is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	GLM-5V Turbo	Higher SWE-bench (65.2%).
High-volume chat	Llama 3.1 70B	Lower output list price ($0.4/1M).
Voice / low-latency UI	Llama 3.1 70B	Lower TTFT (170 ms).
Long-document RAG	GLM-5V Turbo	Larger window (128k).
Screenshots / vision	GLM-5V Turbo	GLM-5V Turbo is the side marked multimodal in the catalog.

Community Sentiment

Cast Your Matchup Vote

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

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

Llama 3.1 70B

Elo 1,240

SWE-bench40.2%

Speed (tok/s)125 tok/s

Input / 1M Tokens$0.35/1M

Output / 1M Tokens$0.4/1M

Frequently Asked Questions

Which is better overall, GLM-5V Turbo or Llama 3.1 70B?: 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, GLM-5V Turbo or Llama 3.1 70B?: GLM-5V Turbo leads SWE-bench at 65.2% vs 40.2%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: Llama 3.1 70B output tokens are $0.4/1M versus $0.6/1M. Input prices and retry rates still move the real bill.
Which is faster, GLM-5V Turbo or Llama 3.1 70B?: Llama 3.1 70B has the lower time-to-first-token (170 ms vs 180 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: GLM-5V Turbo accepts 128k tokens versus 128k.
Can I self-host either model?: Both GLM-5V Turbo and Llama 3.1 70B are marked open-weights. Hosting cost is not in this table.
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-5V Turbo and Llama 3.1 70B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All GLM-5V Turbo matchups →|All Llama 3.1 70B matchups →

GLM-5V Turbo vs GLM-5.2 (previous glm)GLM-5V Turbo vs GLM-5.3 (next glm)Llama 3.1 70B vs Llama 3.1 405B (previous llama)Llama 3.1 70B vs Llama 3.3 70B (next llama)Llama 4 Maverick vs GLM-5V Turbo Llama 4 Scout vs GLM-5V Turbo

GLM-5V Turbo vs Llama 3.1 70B benchmark

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

Benchmark

GLM-5V Turbo

Llama 3.1 70B

Advantage Delta

Preference Elo

1,475

seed-bootstrap · Aug 1, 2026

1,240

seed-bootstrap · Aug 1, 2026

+235

Coding Elo

1,482

seed-bootstrap · Aug 1, 2026

—

LiveBench

63.8%

seed-bootstrap · Aug 1, 2026

46.8%

seed-bootstrap · Aug 1, 2026

+17%

SWE-bench

65.2%

seed-bootstrap · Aug 1, 2026

40.2%

seed-bootstrap · Aug 1, 2026

+25%

GPQA Diamond

77.4%

seed-bootstrap · Aug 1, 2026

48%

seed-bootstrap · Aug 1, 2026

+29.4%

Time to first token

180 ms

seed-bootstrap · Aug 1, 2026

170 ms

seed-bootstrap · Aug 1, 2026

+10 ms

Output speed

112 tok/s

seed-bootstrap · Aug 1, 2026

125 tok/s

seed-bootstrap · Aug 1, 2026

+13 tok/s

Input price

$0.15/1M

seed-bootstrap · Aug 1, 2026

$0.35/1M

seed-bootstrap · Aug 1, 2026

+$0.2/1M

Output price

$0.6/1M

seed-bootstrap · Aug 1, 2026

$0.4/1M

seed-bootstrap · Aug 1, 2026

+$0.2/1M

Context window

128k

seed-bootstrap · Aug 1, 2026

128k

seed-bootstrap · Aug 1, 2026

—

Recommended Workload Routing

Repo / coding agentsGLM-5V Turbo

Higher SWE-bench (65.2%).

High-volume chatLlama 3.1 70B

Lower output list price ($0.4/1M).

Voice / low-latency UILlama 3.1 70B

Lower TTFT (170 ms).

Long-document RAGGLM-5V Turbo

Larger window (128k).

Screenshots / visionGLM-5V Turbo

GLM-5V Turbo is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	GLM-5V Turbo	Higher SWE-bench (65.2%).
High-volume chat	Llama 3.1 70B	Lower output list price ($0.4/1M).
Voice / low-latency UI	Llama 3.1 70B	Lower TTFT (170 ms).
Long-document RAG	GLM-5V Turbo	Larger window (128k).
Screenshots / vision	GLM-5V Turbo	GLM-5V Turbo is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, GLM-5V Turbo or Llama 3.1 70B?

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, GLM-5V Turbo or Llama 3.1 70B?

GLM-5V Turbo leads SWE-bench at 65.2% vs 40.2%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

Llama 3.1 70B output tokens are $0.4/1M versus $0.6/1M. Input prices and retry rates still move the real bill.

Which is faster, GLM-5V Turbo or Llama 3.1 70B?

Llama 3.1 70B has the lower time-to-first-token (170 ms vs 180 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

GLM-5V Turbo accepts 128k tokens versus 128k.

Can I self-host either model?

Both GLM-5V Turbo and Llama 3.1 70B are marked open-weights. Hosting cost is not in this table.

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-5V Turbo and Llama 3.1 70B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.