Agentic
Not comparable- Gemini 3 Flash
- Not measured
- GLM-5-Turbo
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Model comparison
Gemini 3 Flash vs GLM-5-Turbo
Updated July 29, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
GLM-5-Turbo has the higher public score estimate, 65.92 versus 59.58, 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 Flash
Gemini 3 Flash has the larger documented context window.
Confidence: documented
Chat turn cost
1K fresh input + 500 output tokens
Gemini 3 Flash
Gemini 3 Flash has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Show secondary and unsupported calls
Repository review cost
50K fresh input + 3K output tokens
Gemini 3 Flash
Gemini 3 Flash has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
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
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. GLM-5-Turbo does not fit this workload in one request. GLM-5-Turbo has no published cached-input rate, so cached tokens use its listed input rate.
Confidence: rate-fallback
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
5 Gemini 3 Flash only
1 Shared
- Shared results
- 1
- Gemini 3 Flash only
- 5
- GLM-5-Turbo only
- 0
- Like-for-like categories
- 0 / 8
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.
Coding
Not comparable- Gemini 3 Flash
- Not measured
- GLM-5-Turbo
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Reasoning
Not comparable- Gemini 3 Flash
- Not measured
- GLM-5-Turbo
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Knowledge
Not comparable- Gemini 3 Flash
- Not measured
- GLM-5-Turbo
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Math
Not comparable- Gemini 3 Flash
- 27.8
- GLM-5-Turbo
- Not measured
- Weighted basis
- 2 vs 0 rows
- Reading
- Not comparable
Multilingual
Not comparable- Gemini 3 Flash
- Not measured
- GLM-5-Turbo
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Multimodal
Not comparable- Gemini 3 Flash
- Not measured
- GLM-5-Turbo
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Instruction following
Not comparable- Gemini 3 Flash
- Not measured
- GLM-5-Turbo
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
| Category | Gemini 3 Flash | GLM-5-Turbo | Weighted basis | Reading |
|---|---|---|---|---|
| Agentic | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Coding | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Reasoning | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Knowledge | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Math | 27.8 | Not measured | Not comparable2 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 | Not measured | Not comparable0 vs 0 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.
A shared-evidence shape is not available.
BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.
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 Flash
- $0.002
- Fits in one request
- GLM-5-Turbo
- $0.0032
- Fits in one request
Gemini 3 Flash has the lower modeled cost
Costs use the listed standard API rates.
Repository review
50K fresh input + 3K output tokens
- Gemini 3 Flash
- $0.034
- Fits in one request
- GLM-5-Turbo
- $0.072
- Fits in one request
Gemini 3 Flash has the lower modeled cost
Costs use the listed standard API rates.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Gemini 3 Flash
- $0.05
- Fits in one request
- GLM-5-Turbo
- $0.304
- Does not fit in one request
- Cached input priced at the published list-input rate
GLM-5-Turbo does not fit this workload in one request. GLM-5-Turbo has no published cached-input rate, so cached tokens use its listed input rate.
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationGemini 3 FlashGLM-5-Turbo
Context window
Maximum documented context; output-token limits may be lower.
Gemini 3 Flash
GLM-5-Turbo
200K
API model ID
Gemini 3 Flash
gemini-3-flash-preview
Google Gemini API pricingGLM-5-Turbo
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Gemini 3 Flash
$0.05 per 1M cached input tokens
Google Gemini API pricingGLM-5-Turbo
Not published
Documented inputs
Gemini 3 Flash
Not sourced
GLM-5-Turbo
Not sourced
Documented outputs
Gemini 3 Flash
Not sourced
GLM-5-Turbo
Not sourced
Provider availability
Gemini 3 Flash
Not sourced
GLM-5-Turbo
Not sourced
Reasoning profile
Gemini 3 Flash
Non-Reasoning
GLM-5-Turbo
Reasoning
Weight access
Gemini 3 Flash
Proprietary
GLM-5-Turbo
Proprietary
License
Gemini 3 Flash
Proprietary
GLM-5-Turbo
Proprietary
Release date
Gemini 3 Flash
2025-12-01
GLM-5-Turbo
2026-03-01
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
- GLM-5-Turbo has the higher public score estimate, 65.92 versus 59.58, but the 90% score intervals overlap.
- Workload cost
- Repository review: $0.034 vs $0.072. Cache-heavy agent loop: $0.05 vs $0.304.
- Context tradeoff
- Gemini 3 Flash 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 evidence6 rows
Agentic
Claw-Eval
Shared sourceGemini 3 Flash49.2%GLM-5-Turbo55.8%GLM-5-Turbo leads this result
Gert Labs
Gemini 3 Flash56.63%SourceGLM-5-Turbo—Not directly comparable
JobBench
Gemini 3 Flash11.4%SourceGLM-5-Turbo—Not directly comparable
Coding
Vibe Code Bench
Gemini 3 Flash20.20%SourceGLM-5-Turbo—Not directly comparable
Math
Frequently asked questions
Which is better, Gemini 3 Flash or GLM-5-Turbo?
GLM-5-Turbo has the higher public score estimate, 65.92 versus 59.58, 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 Flash or GLM-5-Turbo?
The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.
Which is better for agentic tasks, Gemini 3 Flash or GLM-5-Turbo?
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 Flash or GLM-5-Turbo?
For the stated presets, chat costs $0.002 on Gemini 3 Flash and $0.0032 on GLM-5-Turbo; repository review costs $0.034 and $0.072; the cache-heavy agent loop costs $0.05 and $0.304. GLM-5-Turbo does not fit this workload in one request. GLM-5-Turbo has no published cached-input rate, so cached tokens use its listed input rate.
Which has the larger context window, Gemini 3 Flash or GLM-5-Turbo?
Gemini 3 Flash has the larger documented context window: 1M, compared with 200K.
Related comparisons
Last updated July 29, 2026
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