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Granite 4.2 8B vs GLM Flash Latest

vs
GLM Flash Latest

~z-ai

40#248
Signal-by-Signal Comparison
SignalGranite 4.2 8BDeltaGLM Flash Latest
Capabilities
67
-17
83
Pricing
100
+1
99
Context window size
81
-14
96
Recency
100
--
100
Output Capacity
81
-14
96
Overall Result
1 wins
of 5
3 wins
GLM Flash Latest wins 3 of 5 signals

Score History

Score History (7 data points)
Granite 4.2 8BGLM Flash Latest
Granite 4.2 8B

40

current score

Leader

Tied

right now

GLM Flash Latest

40

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Granite 4.2 8B

IBM

Best Value
Per request$0.000185
Daily$0.62
Monthly$18.50
Annual$222.00

GLM Flash Latest

~z-ai

Per request$0.000587
Daily$1.96
Monthly$58.65
Annual$703.84

Granite 4.2 8B saves you $40.15/month

That's $481.84/year compared to GLM Flash Latest at your current usage level of 100K calls/month.

68% cheaper
Choose Granite 4.2 8B for cost optimization

Granite 4.2 8B pricing:
Input:$0.06/M tokens
Output:$0.25/M tokens
GLM Flash Latest pricing:
Input:$0.02/M tokens
Output:$1.13/M tokens
Tie
Granite 4.2 8B

IBM

40

Composite Score

Tie
GLM Flash Latest

~z-ai

40

Composite Score

Signal-by-Signal Comparison
MetricGranite 4.2 8BGLM Flash LatestWinner
Overall Score
40
40
--
Rank#246#248
Granite 4.2 8B
Quality Rank#246#248
Granite 4.2 8B
Adoption Rank#246#248
Granite 4.2 8B
Parameters8B----
Context Window131K1049K
GLM Flash Latest
Pricing$0.06/$0.25/M$0.02/$1.13/M--
Signal Scores
Capabilities
67
83
GLM Flash Latest
Pricing
100
99
Granite 4.2 8B
Context window size
81
96
GLM Flash Latest
Recency
100
100
Granite 4.2 8B
Output Capacity
81
96
GLM Flash Latest
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Granite 4.2 8BEntry Level

Scores 40/100 (rank #246), placing it in the top 16% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GLM Flash LatestEntry Level

Scores 40/100 (rank #248), placing it in the top 15% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose Granite 4.2 8B when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose GLM Flash Latest when you need:

  • Processing long documents or large codebases (1049K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Granite 4.2 8BBest Value
Input cost$0.06/M tokens
Output cost$0.25/M tokens
Cost per quality point$0.008
Est. monthly (1M tokens/day)$4.65
GLM Flash Latest
Input cost$0.02/M tokens
Output cost$1.13/M tokens
Cost per quality point$0.029
Est. monthly (1M tokens/day)$17.24

Granite 4.2 8B offers 73% better value per quality point. At 1M tokens/day, you'd spend $4.65/month with Granite 4.2 8B vs $17.24/month with GLM Flash Latest - a $12.59 monthly difference.

Latency & Speed
Granite 4.2 8BFaster
Speed score0/100
GLM Flash Latest
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Granite 4.2 8B

Customer support chatbot

Suitable for user-facing chat with competitive response times. Granite 4.2 8B also offers lower per-token costs for high-volume support

Granite 4.2 8B

Long document analysis

Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass

GLM Flash Latest

Batch data extraction

Lower output pricing ($0.25/M) reduces costs when processing thousands of records daily

Granite 4.2 8B

Creative writing & content

Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content

Granite 4.2 8B

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

GLM Flash Latest
Which Should You Choose?
Our recommendation:
Granite 4.2 8B

Granite 4.2 8B and GLM Flash Latest are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

Granite 4.2 8B
Recommended

by IBM

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 73% lower pricing; better value at scale
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by ~z-ai

Consider for specialized use cases.

Capability Comparison
CapabilityGranite 4.2 8BGLM Flash Latest
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Granite 4.2 8B

IBM

Best Value
$0.4080
estimated monthly cost

GLM Flash Latest

~z-ai

$1.39
estimated monthly cost

Granite 4.2 8B saves you $0.9853/month

That's 71% cheaper than GLM Flash Latest at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterGranite 4.2 8BGLM Flash Latest
Context Window131K1.0M
Max Output Tokens117,964943,718
Open SourceYesNo
CreatedAug 31, 2026Aug 27, 2026
Last updated: 50m ago

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Granite 4.2 8B vs GLM Flash Latest (2026) | LM Market Cap