Gemini 3.1 Flash Lite vs GLM 4.5V
Gemini 3.1 Flash Lite costs 1.2x less per output token than GLM 4.5V ($1.50 vs $1.80 per million). Updated October 21, 2026; 7 benchmarks have a result for both.
Gemini 3.1 Flash Lite or GLM 4.5V: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Gemini 3.1 Flash Lite for output tokens 1.2x cheaper ($1.50 vs $1.80 per million) and a larger context window (1.05M against 66K tokens).
- Shared results
- 7
- Gemini 3.1 Flash Lite only
- 9
- GLM 4.5V only
- 34
- Like-for-like categories
- 4 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
No call
Only GLM 4.5V has a AA Intelligence Index result, 7.6.
Directional only
Long documents
Listed context window
Gemini 3.1 Flash Lite
Gemini 3.1 Flash Lite takes 1.05M tokens against 66K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 3.1 Flash Lite
Gemini 3.1 Flash Lite $0.0010, GLM 4.5V $0.0015 per turn.
List prices
At a glance
- Coding index
- Gemini 3.1 Flash Lite not benchmarked, GLM 4.5V not benchmarked.
- Widest category
- General, 58.7 points apart on average over 2 shared benchmarks.
- Widest single gap
- Long context reasoning (AA-LCR): Gemini 3.1 Flash Lite 74.3% against GLM 4.5V 0.0%, 74.3 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.1 Flash Lite $1.50 against GLM 4.5V $1.80 per million output tokens, 1.2x apart.
- Context window
- Gemini 3.1 Flash Lite takes 1.05M tokens, GLM 4.5V 66K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Gemini 3.1 Flash Lite | Bars | GLM 4.5V | Ties |
|---|---|---|---|---|
| Coding | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 3 | 0 | ||
| General | 2 | 0 | ||
| All shared boards | 7 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
| Benchmark | Gemini 3.1 Flash Lite | GLM 4.5V | Leader |
|---|---|---|---|
| LiveCodeBench (Artificial Analysis run) | Not measured | 60.4% | Only GLM 4.5V measured |
| SciCode | 43.4% | Not measured | Only Gemini 3.1 Flash Lite measured |
| Terminal-Bench Hard (Artificial Analysis run) | 24.2% | 6.8% | Gemini 3.1 Flash Lite |
| WeirdML | 52.2% | Not measured | Only Gemini 3.1 Flash Lite measured |
| LMArena Text: coding | Not measured | 1347 | Only GLM 4.5V measured |
| LMArena Text: software and IT | Not measured | 1353 | Only GLM 4.5V measured |
| Neither model has a result on the other 33 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Gemini 3.1 Flash Lite | GLM 4.5V | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 7.6 | Only GLM 4.5V measured |
| Epoch Capabilities Index | 144.3 | Not measured | Only Gemini 3.1 Flash Lite measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 3.1 Flash Lite | GLM 4.5V | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 31.3% | 22.5% | Gemini 3.1 Flash Lite |
| DeepResearch Bench | 37.3% | Not measured | Only Gemini 3.1 Flash Lite measured |
| Neither model has a result on the other 39 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Gemini 3.1 Flash Lite | GLM 4.5V | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 82.2% | 68.4% | Gemini 3.1 Flash Lite |
| Humanity's Last Exam (Artificial Analysis run) | 17.2% | 6.3% | Gemini 3.1 Flash Lite |
| GPQA Diamond (Epoch AI run) | 81.8% | Not measured | Only Gemini 3.1 Flash Lite measured |
| LMArena Text: hard prompts | Not measured | 1335 | Only GLM 4.5V measured |
| LMArena Text: expert | Not measured | 1353 | Only GLM 4.5V measured |
| LMArena Text: hard prompts in English | Not measured | 1357 | Only GLM 4.5V measured |
| LMArena Vision: diagrams | Not measured | 1151 | Only GLM 4.5V measured |
| LMArena Vision: homework | Not measured | 1163 | Only GLM 4.5V measured |
| Kagi LLM Benchmark | 67.2% | 59.8% | Gemini 3.1 Flash Lite |
| Neither model has a result on the other 13 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Gemini 3.1 Flash Lite | GLM 4.5V | Leader |
|---|---|---|---|
| AA Math Index | Not measured | 73.0 | Only GLM 4.5V measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 73.0% | Only GLM 4.5V measured |
| OTIS Mock AIME | 80.0% | Not measured | Only Gemini 3.1 Flash Lite measured |
| FrontierMath, tiers 1 to 3 | 27.7% | Not measured | Only Gemini 3.1 Flash Lite measured |
| LMArena Text: math | Not measured | 1354 | Only GLM 4.5V measured |
| LMArena Text: mathematical work | Not measured | 1336 | Only GLM 4.5V measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Gemini 3.1 Flash Lite | GLM 4.5V | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | Not measured | 78.8% | Only GLM 4.5V measured |
| LMArena Text: science | Not measured | 1330 | Only GLM 4.5V measured |
| LMArena Text: medicine and healthcare | Not measured | 1349 | Only GLM 4.5V measured |
| LMArena Text: legal and government | Not measured | 1338 | Only GLM 4.5V measured |
| LMArena Text: business and finance | Not measured | 1309 | Only GLM 4.5V measured |
| Neither model has a result on the other 13 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.1 Flash Lite | GLM 4.5V | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 3.1 Flash Lite | GLM 4.5V | Leader |
|---|---|---|---|
| IFBench | 77.2% | 34.2% | Gemini 3.1 Flash Lite |
| Long context reasoning (AA-LCR) | 74.3% | 0.0% | Gemini 3.1 Flash Lite |
| DTBench | 76.8% | Not measured | Only Gemini 3.1 Flash Lite measured |
| LMCA | 35.0% | Not measured | Only Gemini 3.1 Flash Lite measured |
| LMArena Text | Not measured | 1333 | Only GLM 4.5V measured |
| LMArena Text: instruction following | Not measured | 1311 | Only GLM 4.5V measured |
| LMArena Text: creative writing | Not measured | 1294 | Only GLM 4.5V measured |
| LMArena Vision | Not measured | 1154 | Only GLM 4.5V measured |
| LMArena Text: English | Not measured | 1362 | Only GLM 4.5V measured |
| LMArena Text: non-English | Not measured | 1303 | Only GLM 4.5V measured |
| LMArena Text: Chinese | Not measured | 1337 | Only GLM 4.5V measured |
| LMArena Text: Spanish | Not measured | 1336 | Only GLM 4.5V measured |
| LMArena Text: Russian | Not measured | 1298 | Only GLM 4.5V measured |
| LMArena Text: Polish | Not measured | 1302 | Only GLM 4.5V measured |
| LMArena Text: multi-turn | Not measured | 1333 | Only GLM 4.5V measured |
| LMArena Text: longer queries | Not measured | 1305 | Only GLM 4.5V measured |
| LMArena Text: writing and language | Not measured | 1302 | Only GLM 4.5V measured |
| LMArena Text: entertainment and media | Not measured | 1303 | Only GLM 4.5V measured |
| LMArena Vision: English | Not measured | 1183 | Only GLM 4.5V measured |
| LMArena Vision: reading text | Not measured | 1151 | Only GLM 4.5V measured |
| Neither model has a result on the other 26 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.1 Flash Lite | GLM 4.5V | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Gemini 3.1 Flash Lite costs less
Repository review
50K input + 3K output tokens
Gemini 3.1 Flash Lite costs less
Agent loop
200K input + 10K output tokens
Gemini 3.1 Flash Lite costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Google Gemini 3.1 Flash Lite | Z.ai GLM 4.5V |
|---|---|---|
| Maker | Z.ai | |
| Weights | No public weights listed | Open weights |
| Released | May 7, 2026 | August 11, 2025 |
| Context window | 1.05M | 66K |
| Input $/Mtok | $0.25 | $0.60 |
| Output $/Mtok | $1.50 | $1.80 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.1 Flash Lite better than GLM 4.5V for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemini 3.1 Flash Lite for output tokens 1.2x cheaper ($1.50 vs $1.80 per million) and a larger context window (1.05M against 66K tokens).
Which is cheaper, Gemini 3.1 Flash Lite or GLM 4.5V?
Gemini 3.1 Flash Lite costs $0.25 per million input tokens and $1.50 per million output tokens; GLM 4.5V costs $0.60 and $1.80. Cost per solved task is known for neither of them.
Which has the bigger context window, Gemini 3.1 Flash Lite or GLM 4.5V?
Gemini 3.1 Flash Lite, with 1.05M tokens against 66K.
How many benchmarks is the Gemini 3.1 Flash Lite vs GLM 4.5V comparison based on?
7 benchmarks have a result for both models as of October 21, 2026. Gemini 3.1 Flash Lite's coding index rests on 0 independent benchmarks and GLM 4.5V's on 0. Where only one model has a result, the page says so instead of naming a winner.