comparison
GLM 4.6 vs Gemini 2.5 Flash-Lite
Token pricing, context window and real monthly cost, side by side. Gemini 2.5 Flash-Lite is the cheaper of the two for a typical workload — about 5.0× less.
Positioned by published specs — size, context and modality — not measured performance; a smaller model can sometimes outperform a larger one on your task.
GLM 4.6 is one class larger (Mid vs Mini). Lean to the cheaper Gemini 2.5 Flash-Lite unless your task is demanding enough to need the larger class.
| metric | GLM 4.6 | Gemini 2.5 Flash-Lite |
|---|---|---|
| Input / 1M | $0.50 | $0.10 |
| Output / 1M | $2.00 | $0.40 |
| Context | 205K | 1.0M |
| Technical class | Mid | Mini |
| Cost @ typical workload | $350/mo | $70.00/mo |
| Modality | Text only | text + image + audio + video |
| Price source | routed | list |
| Provider | Z.AI |
Snapshot . Cost uses a typical workload; tune it in the calculator. How we measure →
Which should you pick?
On a typical workload, Gemini 2.5 Flash-Lite costs $70.00/mo against GLM 4.6's $350/mo — roughly 5.0× cheaper. But the ranking depends on your output-to-input ratio: output is the pricier direction for both, so an output-heavy job (code generation, long answers) widens the gap while an input-heavy one (summarization, retrieval) narrows it. If you need to fit more in a single prompt, Gemini 2.5 Flash-Lite has the larger 1.0M-token window (~1,573 pages). Only Gemini 2.5 Flash-Lite accepts image input — decisive if your prompts include images. By technical class (size and context, not measured capability), GLM 4.6 is a Mid and Gemini 2.5 Flash-Lite a Mini — so the lower price partly reflects a smaller class, not just a discount.
These are list and routed market prices, not measured outcomes. Two models at the same rate can still cost different amounts to finish the same task, because verbose or reasoning-heavy models emit more tokens. That gap is exactly what measured cost-per-task captures. The technical-class read above is likewise spec-based — size, context and modality, not measured performance — so a smaller model can still outperform a larger one on your specific task.
Frequently asked questions
Is GLM 4.6 or Gemini 2.5 Flash-Lite cheaper?
For a typical workload (1,500 input + 500 output tokens × 200,000 requests/month), Gemini 2.5 Flash-Lite costs $70.00/mo versus $350/mo for GLM 4.6 — about 5.0× less. Because output is priced higher than input, the winner can flip if your workload writes much more or less than this; check your own numbers in the calculator.
What's the main difference between GLM 4.6 and Gemini 2.5 Flash-Lite?
On price, GLM 4.6 is $0.50/$2.00 per 1M (in/out) and Gemini 2.5 Flash-Lite is $0.10/$0.40. By technical class (size & context) it's Mid (GLM 4.6) versus Mini (Gemini 2.5 Flash-Lite). Gemini 2.5 Flash-Lite has the larger context window at 1.0M tokens. Only Gemini 2.5 Flash-Lite accepts image input.
Why is Gemini 2.5 Flash-Lite so much cheaper than GLM 4.6?
Gemini 2.5 Flash-Lite has a much lower per-token rate — $0.40/1M output versus $2.00, and it's a smaller technical class (Mini vs Mid). The headline rate isn't the whole story, though: a verbose model can cost more to finish a task than its rate implies — that's what measured cost-per-task captures.
Which handles longer prompts, GLM 4.6 or Gemini 2.5 Flash-Lite?
Gemini 2.5 Flash-Lite — its 1.0M-token context window (~1,573 pages of text) is the larger of the two, by roughly 5×.
More comparisons
- GPT-5.4 mini vs GLM 4.6
- GPT-5.4 nano vs Gemini 2.5 Flash-Lite
- GLM 4.6 vs GPT-5.4 nano
- Gemini 2.5 Flash-Lite vs gpt-oss-120b
- Claude Haiku 4.5 vs GLM 4.6
- Gemini 3.1 Pro vs Gemini 2.5 Flash-Lite
Related
- GLM 4.6 and Gemini 2.5 Flash-Lite — full specs and price history.
- API cost calculator — compare on your own workload.
- All comparisons — the full head-to-head index.