Mistral Small 3.1 24B vs MiniMax-M2.5 vs Llama 4 Scout 17B Instruct
Too close to call on our weighted score (Llama 4 Scout 17B Instruct 62, MiniMax-M2.5 61, Mistral Small 3.1 24B 55). The right pick depends on what you value most.
Mistral AI
Mistral Small 3.1 24B
55/100- ECI127.5
- Price$0.229 / $0.436
- Context128K
MiniMax
MiniMax-M2.5
61/100- ECI146.7
- Price$0.30 / $1.20
- Context205K
Meta
Llama 4 Scout 17B Instruct
62/100- ECI129.7
- Price$0.225 / $0.69
- Context10M
Too close to call
It is close. Our weighted score puts them within a point (Llama 4 Scout 17B Instruct 62/100, MiniMax-M2.5 61/100, Mistral Small 3.1 24B 55/100), so choose by what matters most for your work: MiniMax-M2.5 for raw capability, Mistral Small 3.1 24B on price and Llama 4 Scout 17B Instruct for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityMiniMax-M2.5Capabilities Index (ECI): MiniMax-M2.5 146.7 · Llama 4 Scout 17B Instruct 129.7 · Mistral Small 3.1 24B 127.5
- Lowest priceMistral Small 3.1 24BMistral Small 3.1 24B $0.281 · Llama 4 Scout 17B Instruct $0.341 · MiniMax-M2.5 $0.525 per 1M tokens (3:1 blend)
- Longest contextLlama 4 Scout 17B InstructLlama 4 Scout 17B Instruct 10,000,000 · MiniMax-M2.5 204,800 · Mistral Small 3.1 24B 128,000 tokens
- Widest inputsMistral Small 3.1 24B and Llama 4 Scout 17B InstructMistral Small 3.1 24B: Text, Images · MiniMax-M2.5: Text · Llama 4 Scout 17B Instruct: Text, Images
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Mistral Small 3.1 24B | MiniMax-M2.5 | Llama 4 Scout 17B Instruct |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 50 | 74 | 52 |
| Price | 25% | 76 | 63 | 72 |
| Inputs & features | 15% | 60 | 35 | 50 |
| Context window | 10% | 24 | 32 | 100 |
| Overall | 100% | 55/100 | 61/100 | 62/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 127.5 | 146.7 (best) | 129.7 |
| ECI rank | #132 of 148 | #66 of 148 (best) | #126 of 148 |
| GPQA DiamondGraduate-level science questions | 47.5% | — | 51.8% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 5.8% | — | 7.8% (best) |
| Price per million tokens | |||
| Input | $0.229 | $0.30 | $0.225 (best) |
| Output | $0.436 (best) | $1.20 | $0.69 |
| Cached input | — | $0.03 | — |
| Blended (3:1) | $0.281 (best) | $0.525 | $0.341 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Official MiniMax (minimax.io) API | Median of 4 providers |
| Limits | |||
| Context window | 128,000 tokens | 204,800 tokens | 10,000,000 tokens (best) |
| Max output | 16,384 tokens | 131,072 tokens (best) | 16,384 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Open | Open | Open |
| API model ID | — | MiniMax-M2.5 | — |
| API providers | 2 | 21 (best) | 4 |
| Released | Mar 17, 2025 | Feb 12, 2026 | Apr 5, 2025 |
| Knowledge cutoff | Jun 2024 | — | Aug 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Mistral Small 3.1 24B$3.16
MiniMax-M2.5$5.40
Llama 4 Scout 17B Instruct$3.63
Which should you choose?
Which is better: Mistral Small 3.1 24B, MiniMax-M2.5 or Llama 4 Scout 17B Instruct?
It is close. Our weighted score puts them within a point (Llama 4 Scout 17B Instruct 62/100, MiniMax-M2.5 61/100, Mistral Small 3.1 24B 55/100), so choose by what matters most for your work: MiniMax-M2.5 for raw capability, Mistral Small 3.1 24B on price and Llama 4 Scout 17B Instruct for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Mistral Small 3.1 24B, MiniMax-M2.5 or Llama 4 Scout 17B Instruct?
Mistral Small 3.1 24B is cheaper at $0.229 input / $0.436 output per million tokens (median across 2 API providers). Llama 4 Scout 17B Instruct costs $0.225 input / $0.69 output per million tokens (median across 4 API providers); MiniMax-M2.5 costs $0.30 input / $1.20 output per million tokens (official MiniMax (minimax.io) API price). At a typical mix of three input tokens to one output token, that is $0.281 per million tokens for Mistral Small 3.1 24B versus $0.341 for Llama 4 Scout 17B Instruct (1.2× as much) and $0.525 for MiniMax-M2.5 (1.9× as much).
Which scores higher on benchmarks?
MiniMax-M2.5 scores higher on the Capabilities Index (ECI): MiniMax-M2.5 146.7 (#66 of 148), Llama 4 Scout 17B Instruct 129.7 (#126 of 148) and Mistral Small 3.1 24B 127.5 (#132 of 148). Their confidence ranges do not overlap (142.3–147.9 vs 124.8–131.4), so the gap is a real one.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Small 3.1 24B, MiniMax-M2.5 and Llama 4 Scout 17B Instruct yet, so there is no like-for-like coding score. On overall capability, MiniMax-M2.5 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?
Llama 4 Scout 17B Instruct has the largest context window at 10,000,000 tokens, against 204,800 for MiniMax-M2.5 and 128,000 for Mistral Small 3.1 24B. Maximum output per response: Mistral Small 3.1 24B up to 16,384, MiniMax-M2.5 up to 131,072, Llama 4 Scout 17B Instruct up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Mistral Small 3.1 24B accepts text and images; MiniMax-M2.5 accepts text; Llama 4 Scout 17B Instruct accepts text and images. Mistral Small 3.1 24B 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?
MiniMax-M2.5 is the newest, released Feb 12, 2026. Llama 4 Scout 17B Instruct came out Apr 5, 2025; Mistral Small 3.1 24B came out Mar 17, 2025. Knowledge cutoff: Mistral Small 3.1 24B Jun 2024, Llama 4 Scout 17B Instruct Aug 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 Oct 4, 2026.