Gemini 2.5 Flash is $0.68 cheaper per 1M input tokens (69.4% lower; 3.27x difference).
API cost decision in 10 seconds
🔥Gemini 2.5 Flash vs 🔥GLM 5.1
Pick Gemini 2.5 Flash when budget and context both matter.
Budget verdict
Pick Gemini 2.5 Flash when budget and context both matter.
On the standard 1M input plus 500K output workload, Gemini 2.5 Flash is estimated at $1.55 vs $2.52 for GLM 5.1, saving $0.97 (38.5% lower).
Gemini 2.5 Flash is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $9.7. Use the calculator below to replace the sample workload with your own token volume.
Gemini 2.5 Flash is $0.58 cheaper per 1M output tokens (18.8% lower; 1.23x difference).
Gemini 2.5 Flash has 845.82K more context (5.17x larger).
Gemini 2.5 Flash is $0.97 cheaper on the standard workload (38.5% lower).
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
Gemini 2.5 Flash has the lower input price; Gemini 2.5 Flash has the lower output price; Gemini 2.5 Flash offers the larger context window. For the 1M input plus 500K output sample, Gemini 2.5 Flash is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.55 for Gemini 2.5 Flash and $2.52 for GLM 5.1.
Choose Gemini 2.5 Flash when you care most about lower input-token price, lower output-token price, and larger context window.
Choose GLM 5.1 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- On the standard 1M input plus 500K output workload, Gemini 2.5 Flash is estimated at $1.55 vs $2.52 for GLM 5.1, saving $0.97 (38.5% lower).
- Gemini 2.5 Flash is $0.97 cheaper on the standard workload (38.5% lower).
- Gemini 2.5 Flash is $0.68 cheaper per 1M input tokens (69.4% lower; 3.27x difference).
- Gemini 2.5 Flash is $0.58 cheaper per 1M output tokens (18.8% lower; 1.23x difference).
- Gemini 2.5 Flash has 845.82K more context (5.17x larger).
| Feature | 🔥Gemini 2.5 Flash (Google) | 🔥GLM 5.1 (Z.ai) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.3 | $0.98 |
| Completion Price per 1M tokens | $2.5 | $3.08 |
| Sample Workload Cost 1M input + 500K output | $1.55 | $2.52 |
| Context Window | 1.05M | 202.75K |
| Release Date | ||
| Popularity Rank current rank | #15 | #20 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Gemini 2.5 Flash | On the standard 1M input plus 500K output workload, Gemini 2.5 Flash is estimated at $1.55 vs $2.52 for GLM 5.1, saving $0.97 (38.5% lower). |
| High-volume input processing | Gemini 2.5 Flash | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Gemini 2.5 Flash | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Gemini 2.5 Flash | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Gemma 4 26B A4B (free) can replace Gemini 2.5 Flash when lower sample workload cost matters most: $0.
- Gemma 4 31B (free) can replace Gemini 2.5 Flash when lower sample workload cost matters most: $0.
- Lyria 3 Pro Preview can replace Gemini 2.5 Flash when lower sample workload cost matters most: $0.
- Lyria 3 Clip Preview can replace Gemini 2.5 Flash when lower sample workload cost matters most: $0.
- Grok 4.1 Fast offers 2M context with $0.45 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Grok 4 Fast offers 2M context with $0.45 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- Hy3 preview · Tencent · #1
- Claude Opus 4.7 · Anthropic · #2
- Claude Sonnet 4.6 · Anthropic · #3
- DeepSeek V4 Flash · DeepSeek · #4
Cheaper alternatives
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