Coding
Directional only- Gemini 3.5 Flash-Lite
- 54.2
- Granite 4.2 8B
- 36.5
- Weighted basis
- 1 vs 3 rows
- Reading
- Directional only
Gemini 3.5 Flash-Lite vs Granite 4.2 8B
Updated August 31, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
Gemini 3.5 Flash-Lite has the higher public score estimate, 65.67 versus 46.88, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.
1 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.
Which one for your work
Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.
Long documents
Prompts that approach the documented context limit
Gemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite has the larger documented context window.
Confidence: documented
Show secondary and unsupported calls
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
Chat turn cost
1K fresh input + 500 output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
Cache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. Granite 4.2 8B does not fit this workload in one request. Granite 4.2 8B has no comparable published API token rate.
Confidence: listed-rates
Repository review cost
50K fresh input + 3K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
4 Gemini 3.5 Flash-Lite only
1 Shared
13 Granite 4.2 8B only
- Shared results
- 1
- Gemini 3.5 Flash-Lite only
- 4
- Granite 4.2 8B only
- 13
- Like-for-like categories
- 0 / 8
1 category uses different evidence sets. Those rows remain visible for coverage context but do not name a winner.
Category results, on a stated basis
Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.
Agentic
Not comparable- Gemini 3.5 Flash-Lite
- 63.4
- Granite 4.2 8B
- Not measured
- Weighted basis
- 2 vs 0 rows
- Reading
- Not comparable
Reasoning
Not comparable- Gemini 3.5 Flash-Lite
- 72.2
- Granite 4.2 8B
- Not measured
- Weighted basis
- 1 vs 0 rows
- Reading
- Not comparable
Knowledge
Not comparable- Gemini 3.5 Flash-Lite
- Not measured
- Granite 4.2 8B
- 72.2
- Weighted basis
- 0 vs 2 rows
- Reading
- Not comparable
Math
Not comparable- Gemini 3.5 Flash-Lite
- Not measured
- Granite 4.2 8B
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Multilingual
Not comparable- Gemini 3.5 Flash-Lite
- Not measured
- Granite 4.2 8B
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Multimodal
Not comparable- Gemini 3.5 Flash-Lite
- Not measured
- Granite 4.2 8B
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Instruction following
Not comparable- Gemini 3.5 Flash-Lite
- Not measured
- Granite 4.2 8B
- 79.3
- Weighted basis
- 0 vs 1 rows
- Reading
- Not comparable
| Category | Gemini 3.5 Flash-Lite | Granite 4.2 8B | Weighted basis | Reading |
|---|---|---|---|---|
| Coding | 54.2 | 36.5 | Directional only1 vs 3 rows | Directional only |
| Agentic | 63.4 | Not measured | Not comparable2 vs 0 rows | Not comparable |
| Reasoning | 72.2 | Not measured | Not comparable1 vs 0 rows | Not comparable |
| Knowledge | Not measured | 72.2 | Not comparable0 vs 2 rows | Not comparable |
| Math | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multimodal | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Instruction following | Not measured | 79.3 | Not comparable0 vs 1 rows | Not comparable |
Shape of the matched evidence
Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.
Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.
SWE-bench Pro
Coding
Gemini 3.5 Flash-Lite: 54.2%Granite 4.2 8B: 19.1%Normalized gap 35.1Gemini 3.5 Flash-Lite source Granite 4.2 8B source
What each workload costs
Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.
Chat turn
1K fresh input + 500 output tokens
- Gemini 3.5 Flash-Lite
- $0.00155
- Fits in one request
- Granite 4.2 8B
- Self-hosted; infrastructure cost varies
- Fits in one request
Granite 4.2 8B has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Gemini 3.5 Flash-Lite
- $0.0225
- Fits in one request
- Granite 4.2 8B
- Self-hosted; infrastructure cost varies
- Fits in one request
Granite 4.2 8B has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Gemini 3.5 Flash-Lite
- $0.037
- Fits in one request
- Granite 4.2 8B
- Self-hosted; infrastructure cost varies
- Does not fit in one request
- Cached-input rate unavailable
Granite 4.2 8B does not fit this workload in one request. Granite 4.2 8B has no comparable published API token rate.
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationGemini 3.5 Flash-LiteGranite 4.2 8B
Context window
Maximum documented context; output-token limits may be lower.
Gemini 3.5 Flash-Lite
Granite 4.2 8B
API model ID
Gemini 3.5 Flash-Lite
gemini-3.5-flash-lite
Google Gemini 3.5 Flash-Lite model documentationGranite 4.2 8B
ibm-granite/granite-4.2-8b
IBM Granite 4.2 8B model cardCached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Gemini 3.5 Flash-Lite
$0.03 per 1M cached input tokens
Google Gemini API pricingGranite 4.2 8B
No comparable hosted API rate
IBM Granite 4.2 8B model cardDocumented inputs
Gemini 3.5 Flash-Lite
text, image, video, audio, pdf
Google Gemini 3.5 Flash-Lite model documentationGranite 4.2 8B
Not sourced
Documented outputs
Gemini 3.5 Flash-Lite
Granite 4.2 8B
Not sourced
Provider availability
Gemini 3.5 Flash-Lite
Generally Available · Gemini API, Google AI Studio
Google latest Gemini model guideGranite 4.2 8B
Not sourced
Reasoning profile
Gemini 3.5 Flash-Lite
Reasoning
Granite 4.2 8B
Reasoning
Weight access
Gemini 3.5 Flash-Lite
Proprietary
Granite 4.2 8B
Open Weight
License
Gemini 3.5 Flash-Lite
Proprietary
Granite 4.2 8B
Open Weight
Release date
Gemini 3.5 Flash-Lite
2026-07-21
Granite 4.2 8B
2026-08-25
If you already use one of these models
- Deployment change
- The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
- Quality signal
- Gemini 3.5 Flash-Lite has the higher public score estimate, 65.67 versus 46.88, but the 90% score intervals overlap.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- Gemini 3.5 Flash-Lite has the larger documented window (1M).
Run the same representative tasks against both endpoints before changing production traffic.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence18 rows
Agentic
Terminal-Bench 2.0
Gemini 3.5 Flash-Lite54%SourceGranite 4.2 8B—Not directly comparable
OSWorld-Verified
Gemini 3.5 Flash-Lite74%SourceGranite 4.2 8B—Not directly comparable
Terminal-Bench 2.1
Gemini 3.5 Flash-Lite—Granite 4.2 8B20.6%SourceNot directly comparable
τ³-bench results
Gemini 3.5 Flash-Lite—Granite 4.2 8B58.1%SourceNot directly comparable
BFCL v4
Gemini 3.5 Flash-Lite—Granite 4.2 8B52.4%SourceNot directly comparable
Coding
Terminal-Bench 2.0
Gemini 3.5 Flash-Lite54.0%SourceGranite 4.2 8B—Not directly comparable
SWE-bench Pro
Gemini 3.5 Flash-Lite54.2%SourceGranite 4.2 8B19.1%SourceGemini 3.5 Flash-Lite leads this result
SWE-bench Verified
Gemini 3.5 Flash-Lite—Granite 4.2 8B47.7%SourceNot directly comparable
SWE Multilingual
Gemini 3.5 Flash-Lite—Granite 4.2 8B30.8%SourceNot directly comparable
Terminal-Bench 2.1
Gemini 3.5 Flash-Lite—Granite 4.2 8B20.6%SourceNot directly comparable
LiveCodeBench v6
Gemini 3.5 Flash-Lite—Granite 4.2 8B73.2%SourceNot directly comparable
SciCode
Gemini 3.5 Flash-Lite—Granite 4.2 8B36.1%SourceNot directly comparable
Reasoning
MRCRv2
Gemini 3.5 Flash-Lite72.2%SourceGranite 4.2 8B—Not directly comparable
Knowledge
Math
Instruction following
IFBench
Gemini 3.5 Flash-Lite—Granite 4.2 8B79.3%SourceNot directly comparable
Frequently asked questions
Which is better, Gemini 3.5 Flash-Lite or Granite 4.2 8B?
Gemini 3.5 Flash-Lite has the higher public score estimate, 65.67 versus 46.88, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.
Which is better for coding, Gemini 3.5 Flash-Lite or Granite 4.2 8B?
The current coding averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.
Which is better for agentic tasks, Gemini 3.5 Flash-Lite or Granite 4.2 8B?
The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.
Which costs less, Gemini 3.5 Flash-Lite or Granite 4.2 8B?
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Which has the larger context window, Gemini 3.5 Flash-Lite or Granite 4.2 8B?
Gemini 3.5 Flash-Lite has the larger documented context window: 1M, compared with 128K.
Related comparisons
Last updated August 31, 2026
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