Grok 4 Fast Non Reasoning vs Gemini 2.5 Flash-Lite vs GLM-4.6V-Flash
Gemini 2.5 Flash-Lite comes out ahead, 83 to 72 and 63 on our weighted score, and it is the cheaper option too.
xAIGrok 4 Fast Non Reasoning
72/100- ECI—
- Price$0.20 / $0.50
- Context2M
- Our pick
GoogleGemini 2.5 Flash-Lite
83/100- ECI—
- Price$0.10 / $0.40
- Context1.05M
Z.ai (Zhipu)GLM-4.6V-Flash
63/100- ECI—
- Price$0.161 / $0.559
- Context128K
Gemini 2.5 Flash-Lite is our pick
Gemini 2.5 Flash-Lite is the better all-round choice, scoring 83/100 against Grok 4 Fast Non Reasoning (72) and GLM-4.6V-Flash (63). It leads on price and inputs & features. Grok 4 Fast Non Reasoning wins on context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite $0.175 · GLM-4.6V-Flash $0.261 · Grok 4 Fast Non Reasoning $0.275 per 1M tokens (3:1 blend)
- Longest contextGrok 4 Fast Non ReasoningGrok 4 Fast Non Reasoning 2,000,000 · Gemini 2.5 Flash-Lite 1,048,576 · GLM-4.6V-Flash 128,000 tokens
- Widest inputsGemini 2.5 Flash-LiteGrok 4 Fast Non Reasoning: Text, Images, Audio, Video · Gemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video · GLM-4.6V-Flash: Text, Images, Video
- Self-hostingGLM-4.6V-FlashPublishes downloadable weights
| Measure | Weight | Grok 4 Fast Non Reasoning | Gemini 2.5 Flash-Lite | GLM-4.6V-Flash |
|---|---|---|---|---|
| Price | 50% | 73 | 82 | 74 |
| Inputs & features | 30% | 70 | 100 | 70 |
| Context window | 20% | 72 | 61 | 24 |
| Overall | 100% | 72/100 | 83/100 | 63/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Grok 4 Fast Non ReasoningxAI | Gemini 2.5 Flash-LiteGoogle | GLM-4.6V-FlashZ.ai (Zhipu) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.20 | $0.10 (best) | $0.161 |
| Output | $0.50 | $0.40 (best) | $0.559 |
| Cached input | — | $0.01 | — |
| Blended (3:1) | $0.275 | $0.175 (best) | $0.261 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 7 providers | Official Google API | Median of 2 providers |
| Limits | |||
| Context window | 2,000,000 tokens (best) | 1,048,576 tokens | 128,000 tokens |
| Max output | 2,000,000 tokens (best) | 65,536 tokens | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | Yes | No |
| Audio | Yes | Yes | No |
| Video | Yes | Yes | Yes |
| Reasoning | No | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Open |
| API model ID | — | gemini-2.5-flash-lite | glm-4.6v-flash |
| API providers | 8 | 24 (best) | 6 |
| Released | Dec 18, 2025 | Jun 17, 2025 | Dec 8, 2025 |
| Knowledge cutoff | — | Jan 2025 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Grok 4 Fast Non Reasoning$3.00
- Gemini 2.5 Flash-Lite$1.80
- GLM-4.6V-Flash$2.73
Which should you choose?
Which is better: Grok 4 Fast Non Reasoning, Gemini 2.5 Flash-Lite or GLM-4.6V-Flash?
Gemini 2.5 Flash-Lite is the better all-round choice, scoring 83/100 against Grok 4 Fast Non Reasoning (72) and GLM-4.6V-Flash (63). It leads on price and inputs & features. Grok 4 Fast Non Reasoning wins on context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Grok 4 Fast Non Reasoning, Gemini 2.5 Flash-Lite or GLM-4.6V-Flash?
Gemini 2.5 Flash-Lite is cheaper at $0.10 input / $0.40 output per million tokens (official Google API price). GLM-4.6V-Flash costs $0.161 input / $0.559 output per million tokens (median across 2 API providers; free on Z.AI); Grok 4 Fast Non Reasoning costs $0.20 input / $0.50 output per million tokens (median across 7 API providers). At a typical mix of three input tokens to one output token, that is $0.175 per million tokens for Gemini 2.5 Flash-Lite versus $0.261 for GLM-4.6V-Flash (1.5× as much) and $0.275 for Grok 4 Fast Non Reasoning (1.6× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Grok 4 Fast Non Reasoning has not been scored yet, Gemini 2.5 Flash-Lite has not been scored yet and GLM-4.6V-Flash has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Grok 4 Fast Non Reasoning, Gemini 2.5 Flash-Lite and GLM-4.6V-Flash yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Grok 4 Fast Non Reasoning has the largest context window at 2,000,000 tokens, against 1,048,576 for Gemini 2.5 Flash-Lite and 128,000 for GLM-4.6V-Flash. Maximum output per response: Grok 4 Fast Non Reasoning up to 2,000,000, Gemini 2.5 Flash-Lite up to 65,536, GLM-4.6V-Flash up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Grok 4 Fast Non Reasoning accepts text, images, audio and video; Gemini 2.5 Flash-Lite accepts text, images, PDFs, audio and video; GLM-4.6V-Flash accepts text, images and video. Gemini 2.5 Flash-Lite handles the widest range of inputs.
Are any of these open source?
GLM-4.6V-Flash publishes its weights and can be self-hosted; Grok 4 Fast Non Reasoning and Gemini 2.5 Flash-Lite is proprietary.
Which is newer?
Grok 4 Fast Non Reasoning is the newest, released Dec 18, 2025. GLM-4.6V-Flash came out Dec 8, 2025; Gemini 2.5 Flash-Lite came out Jun 17, 2025. Knowledge cutoff: Gemini 2.5 Flash-Lite Jan 2025.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.
