Grok 4.20 (Non-Reasoning) vs MiMo-V2-Pro vs Mistral Large 3
Too close to call on our weighted score (Grok 4.20 (Non-Reasoning) 52, Mistral Large 3 52, MiMo-V2-Pro 42). The right pick depends on what you value most.
xAIGrok 4.20 (Non-Reasoning)
52/100- ECI—
- Price$1.25 / $2.50
- Context1M
XiaomiMiMo-V2-Pro
42/100- ECI—
- Price$1.00 / $3.00
- Context1.05M
Mistral AIMistral Large 3
52/100- ECI—
- Price$0.50 / $1.50
- Context262K
Too close to call
It is close. Our weighted score puts them within a point (Grok 4.20 (Non-Reasoning) 52/100, Mistral Large 3 52/100, MiMo-V2-Pro 42/100), so choose by what matters most for your work: Mistral Large 3 on price and MiMo-V2-Pro 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 priceMistral Large 3Mistral Large 3 $0.75 · MiMo-V2-Pro $1.50 · Grok 4.20 (Non-Reasoning) $1.56 per 1M tokens (3:1 blend)
- Longest contextMiMo-V2-ProMiMo-V2-Pro 1,048,576 · Grok 4.20 (Non-Reasoning) 1,000,000 · Mistral Large 3 262,144 tokens
- Widest inputsGrok 4.20 (Non-Reasoning)Grok 4.20 (Non-Reasoning): Text, Images, PDFs · MiMo-V2-Pro: Text · Mistral Large 3: Text, Images
- Self-hostingMistral Large 3Publishes downloadable weights
| Measure | Weight | Grok 4.20 (Non-Reasoning) | MiMo-V2-Pro | Mistral Large 3 |
|---|---|---|---|---|
| Price | 50% | 39 | 40 | 53 |
| Inputs & features | 30% | 70 | 35 | 60 |
| Context window | 20% | 60 | 61 | 37 |
| Overall | 100% | 52/100 | 42/100 | 52/100 |
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 4.20 (Non-Reasoning)xAI | MiMo-V2-ProXiaomi | Mistral Large 3Mistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.25 | $1.00 | $0.50 (best) |
| Output | $2.50 | $3.00 | $1.50 (best) |
| Cached input | $0.20 | — | $0.05 (best) |
| Blended (3:1) | $1.56 | $1.50 | $0.75 (best) |
| Long-context rate | Over 200K: $2.50 / $5.00 | Same rate | Same rate |
| Price source | Official xAI API | Median of 1 providers | Official Mistral API |
| Limits | |||
| Context window | 1,000,000 tokens | 1,048,576 tokens (best) | 262,144 tokens |
| Max output | 30,000 tokens | 131,072 tokens | 262,144 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | Yes | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Open |
| API model ID | grok-4.20-0309-non-reasoning | — | mistral-large-2512 |
| API providers | 13 | 2 | 17 (best) |
| Released | Mar 9, 2026 | Mar 18, 2026 | Dec 2, 2025 |
| Knowledge cutoff | — | Dec 2024 | Nov 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Grok 4.20 (Non-Reasoning)$17.50
- MiMo-V2-Pro$16.00
- Mistral Large 3$8.00
Which should you choose?
Which is better: Grok 4.20 (Non-Reasoning), MiMo-V2-Pro or Mistral Large 3?
It is close. Our weighted score puts them within a point (Grok 4.20 (Non-Reasoning) 52/100, Mistral Large 3 52/100, MiMo-V2-Pro 42/100), so choose by what matters most for your work: Mistral Large 3 on price and MiMo-V2-Pro 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, Grok 4.20 (Non-Reasoning), MiMo-V2-Pro or Mistral Large 3?
Mistral Large 3 is cheaper at $0.50 input / $1.50 output per million tokens (official Mistral API price). MiMo-V2-Pro costs $1.00 input / $3.00 output per million tokens (median across 1 API provider); Grok 4.20 (Non-Reasoning) costs $1.25 input / $2.50 output per million tokens (official xAI API price). At a typical mix of three input tokens to one output token, that is $0.75 per million tokens for Mistral Large 3 versus $1.50 for MiMo-V2-Pro (2× as much) and $1.56 for Grok 4.20 (Non-Reasoning) (2.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Grok 4.20 (Non-Reasoning) has not been scored yet, MiMo-V2-Pro has not been scored yet and Mistral Large 3 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Grok 4.20 (Non-Reasoning), MiMo-V2-Pro and Mistral Large 3 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-Pro has the largest context window at 1,048,576 tokens, against 1,000,000 for Grok 4.20 (Non-Reasoning) and 262,144 for Mistral Large 3. Maximum output per response: Grok 4.20 (Non-Reasoning) up to 30,000, MiMo-V2-Pro up to 131,072, Mistral Large 3 up to 262,144 tokens.
Which can read images, PDFs, audio or video?
Grok 4.20 (Non-Reasoning) accepts text, images and PDFs; MiMo-V2-Pro accepts text; Mistral Large 3 accepts text and images. Grok 4.20 (Non-Reasoning) handles the widest range of inputs.
Are any of these open source?
Mistral Large 3 publishes its weights and can be self-hosted; Grok 4.20 (Non-Reasoning) and MiMo-V2-Pro is proprietary.
Which is newer?
MiMo-V2-Pro is the newest, released Mar 18, 2026. Grok 4.20 (Non-Reasoning) came out Mar 9, 2026; Mistral Large 3 came out Dec 2, 2025. Knowledge cutoff: MiMo-V2-Pro Dec 2024, Mistral Large 3 Nov 2024.
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.
