GLM-4.7-Flash vs GLM-5.3-Flash vs Mistral Small 3.2
GLM-5.3-Flash comes out ahead, 85 to 52 and 48 on our weighted score, though GLM-4.7-Flash is 39% cheaper per token.
Z.ai (Zhipu)GLM-4.7-Flash
48/100- ECI—
- Price$0.06 / $0.40
- Context200K
- Our pickZ.ai (Zhipu)
GLM-5.3-Flash
85/100- ECI151.9
- Price$0.15 / $0.50
- Context1M
Mistral AIMistral Small 3.2
52/100- ECI131.7
- Price$0.10 / $0.30
- Context128K
GLM-5.3-Flash is our pick
GLM-5.3-Flash is the better all-round choice, scoring 85/100 against Mistral Small 3.2 (52) and GLM-4.7-Flash (48). It leads on capability, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond and OTIS Mock AIME 2024–2025), because GLM-4.7-Flash has no Capabilities Index score yet.
- CapabilityGLM-5.3-FlashShared benchmarks: GLM-5.3-Flash 92.0% · Mistral Small 3.2 39.7% · GLM-4.7-Flash 35.1%
- Lowest priceGLM-4.7-FlashGLM-4.7-Flash $0.145 · Mistral Small 3.2 $0.15 · GLM-5.3-Flash $0.237 per 1M tokens (3:1 blend)
- Longest contextGLM-5.3-FlashGLM-5.3-Flash 1,000,000 · GLM-4.7-Flash 200,000 · Mistral Small 3.2 128,000 tokens
- Widest inputsGLM-5.3-FlashGLM-4.7-Flash: Text · GLM-5.3-Flash: Text, Images, PDFs, Video · Mistral Small 3.2: Text, Images
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | GLM-4.7-Flash | GLM-5.3-Flash | Mistral Small 3.2 |
|---|---|---|---|---|
| CapabilityShared benchmarks | 50% | 35 | 92 | 40 |
| Price | 25% | 90 | 79 | 89 |
| Inputs & features | 15% | 35 | 90 | 50 |
| Context window | 10% | 32 | 60 | 24 |
| Overall | 100% | 48/100 | 85/100 | 52/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GLM-4.7-FlashZ.ai (Zhipu) | GLM-5.3-FlashZ.ai (Zhipu) | Mistral Small 3.2Mistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 151.9 (best) | 131.7 |
| ECI rank | — | #42 of 148 (best) | #123 of 148 |
| GPQA DiamondGraduate-level science questions | 45.1% | 90.2% (best) | 49.1% |
| FrontierMath Tiers 1–3Research-level mathematics | — | 55.8% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 25.0% | 93.9% (best) | 30.3% |
| Price per million tokens | |||
| Input | $0.06 (best) | $0.15 | $0.10 |
| Output | $0.40 | $0.50 | $0.30 (best) |
| Cached input | — | $0.03 | — |
| Blended (3:1) | $0.145 (best) | $0.237 | $0.15 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 13 providers | Official Z.AI API | Official Mistral API |
| Limits | |||
| Context window | 200,000 tokens | 1,000,000 tokens (best) | 128,000 tokens |
| Max output | 131,072 tokens (best) | 131,072 tokens (best) | 16,384 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | Yes | No |
| Audio | No | No | No |
| Video | No | Yes | No |
| Reasoning | Yes | Yeslow · high · max | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Open | Open | Open |
| API model ID | glm-4.7-flash | glm-5.3-flash | mistral-small-2506 |
| API providers | 19 | 65 (best) | 6 |
| Released | Jan 19, 2026 | Aug 26, 2026 | Jun 20, 2025 |
| Knowledge cutoff | Apr 2025 | — | Mar 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GLM-4.7-Flash$1.41
- GLM-5.3-Flash$2.50
- Mistral Small 3.2$1.60
Which should you choose?
Which is better: GLM-4.7-Flash, GLM-5.3-Flash or Mistral Small 3.2?
GLM-5.3-Flash is the better all-round choice, scoring 85/100 against Mistral Small 3.2 (52) and GLM-4.7-Flash (48). It leads on capability, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond and OTIS Mock AIME 2024–2025), because GLM-4.7-Flash has no Capabilities Index score yet.
Which is cheaper, GLM-4.7-Flash, GLM-5.3-Flash or Mistral Small 3.2?
GLM-4.7-Flash is cheaper at $0.06 input / $0.40 output per million tokens (median across 13 API providers; free on Z.AI). Mistral Small 3.2 costs $0.10 input / $0.30 output per million tokens (official Mistral API price); GLM-5.3-Flash costs $0.15 input / $0.50 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $0.145 per million tokens for GLM-4.7-Flash versus $0.15 for Mistral Small 3.2 (1× as much) and $0.237 for GLM-5.3-Flash (1.6× as much).
Which scores higher on benchmarks?
Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (GPQA Diamond and OTIS Mock AIME 2024–2025): GLM-5.3-Flash 92.0%, Mistral Small 3.2 39.7% and GLM-4.7-Flash 35.1%. On individual benchmarks: GPQA Diamond — GLM-5.3-Flash 90.2%, Mistral Small 3.2 49.1%, GLM-4.7-Flash 45.1%; OTIS Mock AIME 2024–2025 — GLM-5.3-Flash 93.9%, Mistral Small 3.2 30.3%, GLM-4.7-Flash 25.0%.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-4.7-Flash, GLM-5.3-Flash and Mistral Small 3.2 yet, so there is no like-for-like coding score. On overall capability, GLM-5.3-Flash leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.
Which has the bigger context window?
GLM-5.3-Flash has the largest context window at 1,000,000 tokens, against 200,000 for GLM-4.7-Flash and 128,000 for Mistral Small 3.2. Maximum output per response: GLM-4.7-Flash up to 131,072, GLM-5.3-Flash up to 131,072, Mistral Small 3.2 up to 16,384 tokens.
Which can read images, PDFs, audio or video?
GLM-4.7-Flash accepts text; GLM-5.3-Flash accepts text, images, PDFs and video; Mistral Small 3.2 accepts text and images. GLM-5.3-Flash handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights, so you can self-host them.
Which is newer?
GLM-5.3-Flash is the newest, released Aug 26, 2026. GLM-4.7-Flash came out Jan 19, 2026; Mistral Small 3.2 came out Jun 20, 2025. Knowledge cutoff: GLM-4.7-Flash Apr 2025, Mistral Small 3.2 Mar 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.
