MiMo-V2-Flash vs Devstral Small 2 vs GLM-4.7-FlashX
Devstral Small 2 comes out ahead, 67 to 61 and 61 on our weighted score, and it is the cheaper option too.
Xiaomi
MiMo-V2-Flash
61/100- ECI—
- Price$0.14 / $0.28
- Context262K
- Our pick
Mistral AI
Devstral Small 2
67/100- ECI—
- Price$0.10 / $0.30
- Context262K
Z.ai (Zhipu)
GLM-4.7-FlashX
61/100- ECI—
- Price$0.07 / $0.40
- Context200K
Devstral Small 2 is our pick
Devstral Small 2 is the better all-round choice, scoring 67/100 against GLM-4.7-FlashX (61) and MiMo-V2-Flash (61). It leads on inputs & features. 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 priceDevstral Small 2Devstral Small 2 $0.15 · GLM-4.7-FlashX $0.152 · MiMo-V2-Flash $0.175 per 1M tokens (3:1 blend)
- Longest contextMiMo-V2-Flash and Devstral Small 2MiMo-V2-Flash 262,144 · Devstral Small 2 262,144 · GLM-4.7-FlashX 200,000 tokens
- Widest inputsDevstral Small 2MiMo-V2-Flash: Text · Devstral Small 2: Text, Images · GLM-4.7-FlashX: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | MiMo-V2-Flash | Devstral Small 2 | GLM-4.7-FlashX |
|---|---|---|---|---|
| Price | 50% | 86 | 89 | 89 |
| Inputs & features | 30% | 35 | 50 | 35 |
| Context window | 20% | 37 | 37 | 32 |
| Overall | 100% | 61/100 | 67/100 | 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 | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.14 | $0.10 | $0.07 (best) |
| Output | $0.28 (best) | $0.30 | $0.40 |
| Cached input | $0.0028 (best) | — | $0.01 |
| Blended (3:1) | $0.175 | $0.15 (best) | $0.152 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Xiaomi API | Median of 1 providers | Official Z.AI API |
| Limits | |||
| Context window | 262,144 tokens (best) | 262,144 tokens (best) | 200,000 tokens |
| Max output | 65,536 tokens | 262,144 tokens (best) | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | OpenApache-2.0 | Open |
| API model ID | mimo-v2-flash | — | glm-4.7-flashx |
| API providers | 3 | 1 | 8 (best) |
| Released | Dec 16, 2025 | Dec 9, 2025 | Jan 19, 2026 |
| Knowledge cutoff | Dec 1, 2024 | Dec 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.
MiMo-V2-Flash$1.96
Devstral Small 2$1.60
GLM-4.7-FlashX$1.50
Which should you choose?
Which is better: MiMo-V2-Flash, Devstral Small 2 or GLM-4.7-FlashX?
Devstral Small 2 is the better all-round choice, scoring 67/100 against GLM-4.7-FlashX (61) and MiMo-V2-Flash (61). It leads on inputs & features. 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, MiMo-V2-Flash, Devstral Small 2 or GLM-4.7-FlashX?
Devstral Small 2 is cheaper at $0.10 input / $0.30 output per million tokens (median across 1 API provider). GLM-4.7-FlashX costs $0.07 input / $0.40 output per million tokens (official Z.AI API price); MiMo-V2-Flash costs $0.14 input / $0.28 output per million tokens (official Xiaomi API price). At a typical mix of three input tokens to one output token, that is $0.15 per million tokens for Devstral Small 2 versus $0.152 for GLM-4.7-FlashX (1× as much) and $0.175 for MiMo-V2-Flash (1.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. MiMo-V2-Flash has not been scored yet, Devstral Small 2 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 MiMo-V2-Flash, Devstral Small 2 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?
MiMo-V2-Flash and Devstral Small 2 have the largest context windows (262,144 and 262,144 tokens), against 200,000 for GLM-4.7-FlashX. Maximum output per response: MiMo-V2-Flash up to 65,536, Devstral Small 2 up to 262,144, GLM-4.7-FlashX up to 131,072 tokens.
Which can read images, PDFs, audio or video?
MiMo-V2-Flash accepts text; Devstral Small 2 accepts text and images; GLM-4.7-FlashX accepts text. Devstral Small 2 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?
GLM-4.7-FlashX is the newest, released Jan 19, 2026. MiMo-V2-Flash came out Dec 16, 2025; Devstral Small 2 came out Dec 9, 2025. Knowledge cutoff: MiMo-V2-Flash Dec 1, 2024, Devstral Small 2 Dec 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.