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

GLM-5.2 vs Mistral: Saba benchmark

Name: GLM-5.2 vs Mistral: Saba AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares GLM-5.2 (Zhipu) and Mistral: Saba (Mistral) using the latest snapshots we have as of Aug 17, 2026. Mistral: Saba wins on output price at $0.6/1M. GLM-5.2 has the larger context window (1M 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.

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Zhipu

GLM-5.2

Zhipu flagship. Strong Chinese/English coding and agents.

GLM-5.2Elo 1,492$3.74/1M out

Mistral

Mistral: Saba

Auto-discovered from OpenRouter (mistralai/mistral-saba). Preview until a second source matches.

$0.6/1M out

Model Lineage & Multi-Tier Derivatives🇨🇳 CN Frontier

GLM-5 Series Family (2 models)

Compare vs Base (GLM-5.3)

GLM-5.2

Zhipu

GLM-5.2

Elo

1492

Speed

84 tok/s

Price

$3.74 / 1M

-66 Elo+108% cost0.9x speed

Viewing now

GLM-5.3

Zhipu

Flagship Base

Elo

1558

Speed

90 tok/s

Price

$1.80 / 1M

View model →vs this

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Model A

Model B

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

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GLM-5.2 (8)vsMistral: Saba (2)

GLM-5.2: 8W (80%)Overall: GLM-5.2Mistral: Saba: 2W (20%)

← GLM-5.2Mistral: Saba →

GLM-5.2 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,492vs—

Coding Elo

1,504vs—

SWE-bench

69.3%vs—

LiveBench

65.2%vs—

GPQA Diamond

79.5%vs—

GLM-5.2: 5WMistral: Saba: 0W

GLM-5.2 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

84 tok/svs—

Time to first token

270 msvs—

GLM-5.2: 2WMistral: Saba: 0W

Mistral: Saba (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$3.74/1Mvs$0.6/1M

Input price

$1.19/1Mvs$0.2/1M

Context window

1Mvs33k

GLM-5.2: 1WMistral: Saba: 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 AdvantageGLM-5.2 5/6

Preference Elo

No shared data

Throughput Speed

No shared data

Token Price Efficiency

Mistral: Saba

$3.14/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,492

EloHigh is better

—

Code Elo

High is better

1,504

Code EloHigh is better

—

LiveBench

High is better

65.2%

LiveBenchHigh is better

—

SWE-bench

High is better

69.3%

SWE-benchHigh is better

—

GPQA

High is better

79.5%

GPQAHigh is better

—

TTFT

Low is better

270 ms

TTFTLow is better

—

Speed

High is better

84 tok/s

SpeedHigh is better

—

In $

Low is better

$1.19 / 1M

In $Low is better

$0.20 / 1M+495%

Out $

Low is better

$3.74 / 1M

Out $Low is better

$0.60 / 1M+523%

Context

High is better

+3100%1M

ContextHigh is better

33k

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 84% with Mistral: Saba

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

GLM-5.2$97.75 / mo

In: $41.65Out: $56.1

Mistral: Saba$16.00 / mo

In: $7Out: $9

Estimated Cost Delta

Mistral: Saba is estimated to save $81.75/month ($981/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Mistral: Saba:Pick Mistral: Saba when you are optimizing output cost.
2
GLM-5.2:Pick GLM-5.2 for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMistral: Saba

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

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGLM-5.2

Larger window (1M).

Screenshots / visionGLM-5.2

GLM-5.2 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Mistral: Saba	Lower output list price ($0.6/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	GLM-5.2	Larger window (1M).
Screenshots / vision	GLM-5.2	GLM-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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CompareLLM Matrix

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LIVE

Zhipu

GLM-5.2

Elo 1,492

LiveBench65.2%

SWE-bench69.3%

Speed84 tok/s

Output cost$3.74/1M

Mistral

Mistral: Saba

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$0.6/1M

Frequently Asked Questions

Which is better overall, GLM-5.2 or Mistral: Saba?: 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, GLM-5.2 or Mistral: Saba?: 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?: Mistral: Saba output tokens are $0.6/1M versus $3.74/1M. Input prices and retry rates still move the real bill.
Which is faster, GLM-5.2 or Mistral: Saba?: We do not have TTFT for both models.
Which has the larger context window?: GLM-5.2 accepts 1M tokens versus 33k.
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. GLM-5.2 and Mistral: Saba Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All GLM-5.2 matchups →|All Mistral: Saba matchups →

GLM-5.2 vs Z.ai: GLM 5V Turbo (next glm)Mistral Large 3 vs GLM-5.2 GLM-5.3 vs GLM-5.2 Gemini 2.0 Flash Thinking vs GLM-5.2 DeepSeek V4 Flash vs GLM-5.2 Gemini 3 Flash vs GLM-5.2

GLM-5.2 vs Mistral: Saba benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GLM-5.2 (8)vsMistral: Saba (2)

GLM-5.2: 8W (80%)Overall: GLM-5.2Mistral: Saba: 2W (20%)

← GLM-5.2Mistral: Saba →

GLM-5.2 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,492vs—

Coding Elo

1,504vs—

SWE-bench

69.3%vs—

LiveBench

65.2%vs—

GPQA Diamond

79.5%vs—

GLM-5.2: 5WMistral: Saba: 0W

GLM-5.2 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

84 tok/svs—

Time to first token

270 msvs—

GLM-5.2: 2WMistral: Saba: 0W

Mistral: Saba (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$3.74/1Mvs$0.6/1M

Input price

$1.19/1Mvs$0.2/1M

Context window

1Mvs33k

GLM-5.2: 1WMistral: Saba: 2W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMistral: Saba

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

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGLM-5.2

Larger window (1M).

Screenshots / visionGLM-5.2

GLM-5.2 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Mistral: Saba	Lower output list price ($0.6/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	GLM-5.2	Larger window (1M).
Screenshots / vision	GLM-5.2	GLM-5.2 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, GLM-5.2 or Mistral: Saba?

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, GLM-5.2 or Mistral: Saba?

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?

Mistral: Saba output tokens are $0.6/1M versus $3.74/1M. Input prices and retry rates still move the real bill.

Which is faster, GLM-5.2 or Mistral: Saba?

We do not have TTFT for both models.

Which has the larger context window?

GLM-5.2 accepts 1M tokens versus 33k.

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. GLM-5.2 and Mistral: Saba Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

GLM-5 Series Family (2 models)

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

Mistral: Saba

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

GLM-5.2 vs GLM 5V Turbo Price and SWE-bench 2026

GLM-5.2 remains the prior Zhipu flagship for upgrade pairs

Cast Your Matchup Vote

Community Discussions (0)

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CompareLLM Matrix

GLM-5.2

Mistral: Saba

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

GLM-5 Series Family (2 models)

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

Mistral: Saba

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

GLM-5.2 vs GLM 5V Turbo Price and SWE-bench 2026

GLM-5.2 remains the prior Zhipu flagship for upgrade pairs

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

GLM-5.2

Mistral: Saba

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons