Step 3.5 Flash vs Voxtral Small 24B 2507 vs GLM-4.7-FlashX
Too close to call on our weighted score (Step 3.5 Flash 62, GLM-4.7-FlashX 61, Voxtral Small 24B 2507 55). The right pick depends on what you value most.
StepFunStep 3.5 Flash
62/100- ECI—
- Price$0.10 / $0.30
- Context256K
Mistral AIVoxtral Small 24B 2507
55/100- ECI—
- Price$0.10 / $0.30
- Context33K
Z.ai (Zhipu)GLM-4.7-FlashX
61/100- ECI—
- Price$0.07 / $0.40
- Context200K
Too close to call
It is close. Our weighted score puts them within 1 points (Step 3.5 Flash 62/100, GLM-4.7-FlashX 61/100, Voxtral Small 24B 2507 55/100), so choose by what matters most for your work: Step 3.5 Flash on price and Step 3.5 Flash for long inputs. 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 priceStep 3.5 Flash and Voxtral Small 24B 2507Step 3.5 Flash $0.15 · Voxtral Small 24B 2507 $0.15 · GLM-4.7-FlashX $0.152 per 1M tokens (3:1 blend)
- Longest contextStep 3.5 FlashStep 3.5 Flash 256,000 · GLM-4.7-FlashX 200,000 · Voxtral Small 24B 2507 32,768 tokens
- Widest inputsVoxtral Small 24B 2507Step 3.5 Flash: Text · Voxtral Small 24B 2507: Text, Audio · GLM-4.7-FlashX: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Step 3.5 Flash | Voxtral Small 24B 2507 | GLM-4.7-FlashX |
|---|---|---|---|---|
| Price | 50% | 89 | 89 | 89 |
| Inputs & features | 30% | 35 | 35 | 35 |
| Context window | 20% | 36 | 0 | 32 |
| Overall | 100% | 62/100 | 55/100 | 61/100 |
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 | Step 3.5 FlashStepFun | Voxtral Small 24B 2507Mistral AI | GLM-4.7-FlashXZ.ai (Zhipu) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.10 | $0.10 | $0.07 (best) |
| Output | $0.30 (best) | $0.30 (best) | $0.40 |
| Cached input | $0.02 | — | $0.01 (best) |
| Blended (3:1) | $0.15 (best) | $0.15 (best) | $0.152 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official StepFun (Global) API | Official Mistral API | Official Z.AI API |
| Limits | |||
| Context window | 256,000 tokens (best) | 32,768 tokens | 200,000 tokens |
| Max output | 256,000 tokens (best) | 32,768 tokens | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | No | Yes | No |
| Video | No | No | No |
| Reasoning | Yeslow · high | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | OpenApache 2.0 | Open |
| API model ID | step-3.5-flash | voxtral-small-latest | glm-4.7-flashx |
| API providers | 8 (best) | 7 | 8 (best) |
| Released | Jan 29, 2026 | Jul 15, 2025 | Jan 19, 2026 |
| Knowledge cutoff | Jan 2025 | — | Apr 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Step 3.5 Flash$1.60
- Voxtral Small 24B 2507$1.60
- GLM-4.7-FlashX$1.50
Which should you choose?
Which is better: Step 3.5 Flash, Voxtral Small 24B 2507 or GLM-4.7-FlashX?
It is close. Our weighted score puts them within 1 points (Step 3.5 Flash 62/100, GLM-4.7-FlashX 61/100, Voxtral Small 24B 2507 55/100), so choose by what matters most for your work: Step 3.5 Flash on price and Step 3.5 Flash for long inputs. 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, Step 3.5 Flash, Voxtral Small 24B 2507 or GLM-4.7-FlashX?
Step 3.5 Flash is cheaper at $0.10 input / $0.30 output per million tokens (official StepFun (Global) API price). Voxtral Small 24B 2507 costs $0.10 input / $0.30 output per million tokens (official Mistral API price); GLM-4.7-FlashX costs $0.07 input / $0.40 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $0.15 per million tokens for Step 3.5 Flash versus $0.15 for Voxtral Small 24B 2507 (1× as much) and $0.152 for GLM-4.7-FlashX (1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Step 3.5 Flash has not been scored yet, Voxtral Small 24B 2507 has not been scored yet and GLM-4.7-FlashX has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Step 3.5 Flash, Voxtral Small 24B 2507 and GLM-4.7-FlashX 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?
Step 3.5 Flash has the largest context window at 256,000 tokens, against 200,000 for GLM-4.7-FlashX and 32,768 for Voxtral Small 24B 2507. Maximum output per response: Step 3.5 Flash up to 256,000, Voxtral Small 24B 2507 up to 32,768, GLM-4.7-FlashX up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Step 3.5 Flash accepts text; Voxtral Small 24B 2507 accepts text and audio; GLM-4.7-FlashX accepts text. Voxtral Small 24B 2507 handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights (Apache 2.0), so you can self-host them.
Which is newer?
Step 3.5 Flash is the newest, released Jan 29, 2026. GLM-4.7-FlashX came out Jan 19, 2026; Voxtral Small 24B 2507 came out Jul 15, 2025. Knowledge cutoff: Step 3.5 Flash Jan 2025, GLM-4.7-FlashX Apr 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 Oct 4, 2026.
