GLM-4.6V-Flash vs Grok 4.1 Fast vs Voxtral Small 24B 2507
Grok 4.1 Fast comes out ahead, 66 to 63 and 55 on our weighted score, though Voxtral Small 24B 2507 is 36% cheaper per token.
Z.ai (Zhipu)GLM-4.6V-Flash
63/100- ECI—
- Price$0.161 / $0.559
- Context128K
- Our pick
xAIGrok 4.1 Fast
66/100- ECI—
- Price$0.20 / $0.50
- Context2M
Mistral AIVoxtral Small 24B 2507
55/100- ECI—
- Price$0.10 / $0.40
- Context33K
Grok 4.1 Fast is our pick
Grok 4.1 Fast is the better all-round choice, scoring 66/100 against GLM-4.6V-Flash (63) and Voxtral Small 24B 2507 (55). It leads on context window. GLM-4.6V-Flash wins on inputs & features. Voxtral Small 24B 2507 wins on price. 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 priceVoxtral Small 24B 2507Voxtral Small 24B 2507 $0.175 · GLM-4.6V-Flash $0.261 · Grok 4.1 Fast $0.275 per 1M tokens (3:1 blend)
- Longest contextGrok 4.1 FastGrok 4.1 Fast 2,000,000 · GLM-4.6V-Flash 128,000 · Voxtral Small 24B 2507 32,768 tokens
- Widest inputsGLM-4.6V-FlashGLM-4.6V-Flash: Text, Images, Video · Grok 4.1 Fast: Text, Images · Voxtral Small 24B 2507: Text, Audio
- Self-hostingGLM-4.6V-Flash and Voxtral Small 24B 2507Publishes downloadable weights (Apache 2.0)
| Measure | Weight | GLM-4.6V-Flash | Grok 4.1 Fast | Voxtral Small 24B 2507 |
|---|---|---|---|---|
| Price | 50% | 74 | 73 | 82 |
| Inputs & features | 30% | 70 | 50 | 45 |
| Context window | 20% | 24 | 72 | 0 |
| Overall | 100% | 63/100 | 66/100 | 55/100 |
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 | GLM-4.6V-FlashZ.ai (Zhipu) | Grok 4.1 FastxAI | Voxtral Small 24B 2507Mistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.161 | $0.20 | $0.10 (best) |
| Output | $0.559 | $0.50 | $0.40 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $0.261 | $0.275 | $0.175 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Median of 6 providers | Official Mistral API |
| Limits | |||
| Context window | 128,000 tokens | 2,000,000 tokens (best) | 32,768 tokens |
| Max output | 32,768 tokens (best) | 30,000 tokens | 32,768 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | Yes |
| Video | Yes | No | No |
| Reasoning | Yes | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Open | Proprietary | OpenApache 2.0 |
| API model ID | glm-4.6v-flash | — | voxtral-small-latest |
| API providers | 6 | 8 | 10 (best) |
| Released | Dec 8, 2025 | Nov 19, 2025 | Jul 15, 2025 |
| Knowledge cutoff | — | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GLM-4.6V-Flash$2.73
- Grok 4.1 Fast$3.00
- Voxtral Small 24B 2507$1.80
Which should you choose?
Which is better: GLM-4.6V-Flash, Grok 4.1 Fast or Voxtral Small 24B 2507?
Grok 4.1 Fast is the better all-round choice, scoring 66/100 against GLM-4.6V-Flash (63) and Voxtral Small 24B 2507 (55). It leads on context window. GLM-4.6V-Flash wins on inputs & features. Voxtral Small 24B 2507 wins on price. 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, GLM-4.6V-Flash, Grok 4.1 Fast or Voxtral Small 24B 2507?
Voxtral Small 24B 2507 is cheaper at $0.10 input / $0.40 output per million tokens (official Mistral 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 4.1 Fast costs $0.20 input / $0.50 output per million tokens (median across 6 API providers). At a typical mix of three input tokens to one output token, that is $0.175 per million tokens for Voxtral Small 24B 2507 versus $0.261 for GLM-4.6V-Flash (1.5× as much) and $0.275 for Grok 4.1 Fast (1.6× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GLM-4.6V-Flash has not been scored yet, Grok 4.1 Fast has not been scored yet and Voxtral Small 24B 2507 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-4.6V-Flash, Grok 4.1 Fast and Voxtral Small 24B 2507 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 4.1 Fast has the largest context window at 2,000,000 tokens, against 128,000 for GLM-4.6V-Flash and 32,768 for Voxtral Small 24B 2507. Maximum output per response: GLM-4.6V-Flash up to 32,768, Grok 4.1 Fast up to 30,000, Voxtral Small 24B 2507 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
GLM-4.6V-Flash accepts text, images and video; Grok 4.1 Fast accepts text and images; Voxtral Small 24B 2507 accepts text and audio. GLM-4.6V-Flash handles the widest range of inputs.
Are any of these open source?
GLM-4.6V-Flash and Voxtral Small 24B 2507 publishes its weights (Apache 2.0) and can be self-hosted; Grok 4.1 Fast is proprietary.
Which is newer?
GLM-4.6V-Flash is the newest, released Dec 8, 2025. Grok 4.1 Fast came out Nov 19, 2025; Voxtral Small 24B 2507 came out Jul 15, 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.
