MiniMax-M2.5 vs Mistral Medium 3 vs Qwen3.5 Plus
Qwen3.5 Plus comes out ahead, 66 to 61 and 53 on our weighted score, though MiniMax-M2.5 is 42% cheaper per token.
MiniMax
MiniMax-M2.5
61/100- ECI146.7
- Price$0.30 / $1.20
- Context205K
Mistral AI
Mistral Medium 3
53/100- ECI134.1
- Price$0.40 / $2.00
- Context131K
- Our pick
Alibaba (Qwen)
Qwen3.5 Plus
66/100- ECI146.8
- Price$0.40 / $2.40
- Context1M
Qwen3.5 Plus is our pick
Qwen3.5 Plus is the better all-round choice, scoring 66/100 against MiniMax-M2.5 (61) and Mistral Medium 3 (53). It leads on inputs & features and context window. MiniMax-M2.5 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityQwen3.5 PlusCapabilities Index (ECI): Qwen3.5 Plus 146.8 · MiniMax-M2.5 146.7 · Mistral Medium 3 134.1
- Lowest priceMiniMax-M2.5MiniMax-M2.5 $0.525 · Mistral Medium 3 $0.80 · Qwen3.5 Plus $0.90 per 1M tokens (3:1 blend)
- Longest contextQwen3.5 PlusQwen3.5 Plus 1,000,000 · MiniMax-M2.5 204,800 · Mistral Medium 3 131,072 tokens
- Widest inputsQwen3.5 PlusMiniMax-M2.5: Text · Mistral Medium 3: Text, Images · Qwen3.5 Plus: Text, Images, Video
- Self-hostingMiniMax-M2.5Publishes downloadable weights
| Measure | Weight | MiniMax-M2.5 | Mistral Medium 3 | Qwen3.5 Plus |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 74 | 58 | 74 |
| Price | 25% | 63 | 54 | 52 |
| Inputs & features | 15% | 35 | 50 | 70 |
| Context window | 10% | 32 | 24 | 60 |
| Overall | 100% | 61/100 | 53/100 | 66/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 146.7 | 134.1 | 146.8 (best) |
| ECI rank | #66 of 148 | #117 of 148 | #65 of 148 (best) |
| GPQA DiamondGraduate-level science questions | — | 59.5% | 84.9% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 32.2% | 86.7% (best) |
| SimpleQA VerifiedShort factual questions | — | — | 25.4% |
| Price per million tokens | |||
| Input | $0.30 (best) | $0.40 | $0.40 |
| Output | $1.20 (best) | $2.00 | $2.40 |
| Cached input | $0.03 | — | — |
| Blended (3:1) | $0.525 (best) | $0.80 | $0.90 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official MiniMax (minimax.io) API | Official Mistral API | Official Alibaba API |
| Limits | |||
| Context window | 204,800 tokens | 131,072 tokens | 1,000,000 tokens (best) |
| Max output | 131,072 tokens (best) | 131,072 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | Yes |
| Reasoning | Yes | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | MiniMax-M2.5 | mistral-medium-2505 | qwen3.5-plus |
| API providers | 21 (best) | 5 | 10 |
| Released | Feb 12, 2026 | May 7, 2025 | Feb 16, 2026 |
| Knowledge cutoff | — | May 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.
MiniMax-M2.5$5.40
Mistral Medium 3$8.00
Qwen3.5 Plus$8.80
Which should you choose?
Which is better: MiniMax-M2.5, Mistral Medium 3 or Qwen3.5 Plus?
Qwen3.5 Plus is the better all-round choice, scoring 66/100 against MiniMax-M2.5 (61) and Mistral Medium 3 (53). It leads on inputs & features and context window. MiniMax-M2.5 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, MiniMax-M2.5, Mistral Medium 3 or Qwen3.5 Plus?
MiniMax-M2.5 is cheaper at $0.30 input / $1.20 output per million tokens (official MiniMax (minimax.io) API price). Mistral Medium 3 costs $0.40 input / $2.00 output per million tokens (official Mistral API price); Qwen3.5 Plus costs $0.40 input / $2.40 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.525 per million tokens for MiniMax-M2.5 versus $0.80 for Mistral Medium 3 (1.5× as much) and $0.90 for Qwen3.5 Plus (1.7× as much).
Which scores higher on benchmarks?
Qwen3.5 Plus scores higher on the Capabilities Index (ECI): Qwen3.5 Plus 146.8 (#65 of 148), MiniMax-M2.5 146.7 (#66 of 148) and Mistral Medium 3 134.1 (#117 of 148). The confidence ranges of the top two overlap (144.6–148.1 vs 142.3–147.9), so treat the gap as small.
Which is better for coding?
There are no published SWE-bench Verified results for MiniMax-M2.5, Mistral Medium 3 and Qwen3.5 Plus yet, so there is no like-for-like coding score. On overall capability, Qwen3.5 Plus 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?
Qwen3.5 Plus has the largest context window at 1,000,000 tokens, against 204,800 for MiniMax-M2.5 and 131,072 for Mistral Medium 3. Maximum output per response: MiniMax-M2.5 up to 131,072, Mistral Medium 3 up to 131,072, Qwen3.5 Plus up to 65,536 tokens.
Which can read images, PDFs, audio or video?
MiniMax-M2.5 accepts text; Mistral Medium 3 accepts text and images; Qwen3.5 Plus accepts text, images and video. Qwen3.5 Plus handles the widest range of inputs.
Are any of these open source?
MiniMax-M2.5 publishes its weights and can be self-hosted; Mistral Medium 3 and Qwen3.5 Plus is proprietary.
Which is newer?
Qwen3.5 Plus is the newest, released Feb 16, 2026. MiniMax-M2.5 came out Feb 12, 2026; Mistral Medium 3 came out May 7, 2025. Knowledge cutoff: Mistral Medium 3 May 2025, Qwen3.5 Plus 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.