MiniMax-M2 Her vs DeepSeek OCR 2 vs Qwen3 Coder Next
Qwen3 Coder Next comes out ahead, 51 to 45 and 32 on our weighted score, and it is the cheaper option too.
MiniMaxMiniMax-M2 Her
45/100- ECI—
- Price$0.30 / $1.20
- Context66K
DeepSeekDeepSeek OCR 2
32/100- ECI—
- Price$0.89 / $1.47
- Context8K
- Our pick
Alibaba (Qwen)Qwen3 Coder Next
51/100- ECI—
- Price$0.20 / $1.20
- Context262K
Qwen3 Coder Next is our pick
Qwen3 Coder Next is the better all-round choice, scoring 51/100 against MiniMax-M2 Her (45) and DeepSeek OCR 2 (32). It leads on price and context window. 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 priceQwen3 Coder NextQwen3 Coder Next $0.45 · MiniMax-M2 Her $0.525 · DeepSeek OCR 2 $1.03 per 1M tokens (3:1 blend)
- Longest contextQwen3 Coder NextQwen3 Coder Next 262,144 · MiniMax-M2 Her 65,536 · DeepSeek OCR 2 8,192 tokens
- Widest inputsDeepSeek OCR 2MiniMax-M2 Her: Text · DeepSeek OCR 2: Text, Images · Qwen3 Coder Next: Text
- Self-hostingDeepSeek OCR 2 and Qwen3 Coder NextPublishes downloadable weights
| Measure | Weight | MiniMax-M2 Her | DeepSeek OCR 2 | Qwen3 Coder Next |
|---|---|---|---|---|
| Price | 50% | 63 | 49 | 66 |
| Inputs & features | 30% | 35 | 25 | 35 |
| Context window | 20% | 12 | 0 | 37 |
| Overall | 100% | 45/100 | 32/100 | 51/100 |
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 | MiniMax-M2 HerMiniMax | DeepSeek OCR 2DeepSeek | Qwen3 Coder NextAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.30 | $0.89 | $0.20 (best) |
| Output | $1.20 (best) | $1.47 | $1.20 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $0.525 | $1.03 | $0.45 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 4 providers | Median of 1 providers | Median of 11 providers |
| Limits | |||
| Context window | 65,536 tokens | 8,192 tokens | 262,144 tokens (best) |
| Max output | 2,048 tokens | 8,192 tokens | 65,536 tokens (best) |
| 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 | No |
| Tool calling | Yes | No | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Proprietary | Open | Open |
| API model ID | — | — | — |
| API providers | 4 | 2 | 11 (best) |
| Released | Jan 23, 2026 | Jan 27, 2026 | Feb 3, 2026 |
| Knowledge cutoff | — | — | Sep 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 Her$5.40
- DeepSeek OCR 2$11.83
- Qwen3 Coder Next$4.40
Which should you choose?
Which is better: MiniMax-M2 Her, DeepSeek OCR 2 or Qwen3 Coder Next?
Qwen3 Coder Next is the better all-round choice, scoring 51/100 against MiniMax-M2 Her (45) and DeepSeek OCR 2 (32). It leads on price and context window. 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, MiniMax-M2 Her, DeepSeek OCR 2 or Qwen3 Coder Next?
Qwen3 Coder Next is cheaper at $0.20 input / $1.20 output per million tokens (median across 11 API providers). MiniMax-M2 Her costs $0.30 input / $1.20 output per million tokens (median across 4 API providers); DeepSeek OCR 2 costs $0.89 input / $1.47 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.45 per million tokens for Qwen3 Coder Next versus $0.525 for MiniMax-M2 Her (1.2× as much) and $1.03 for DeepSeek OCR 2 (2.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. MiniMax-M2 Her has not been scored yet, DeepSeek OCR 2 has not been scored yet and Qwen3 Coder Next has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for MiniMax-M2 Her, DeepSeek OCR 2 and Qwen3 Coder Next yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that DeepSeek OCR 2 does not support tool calling, which most coding agents need.
Which has the bigger context window?
Qwen3 Coder Next has the largest context window at 262,144 tokens, against 65,536 for MiniMax-M2 Her and 8,192 for DeepSeek OCR 2. Maximum output per response: MiniMax-M2 Her up to 2,048, DeepSeek OCR 2 up to 8,192, Qwen3 Coder Next up to 65,536 tokens.
Which can read images, PDFs, audio or video?
MiniMax-M2 Her accepts text; DeepSeek OCR 2 accepts text and images; Qwen3 Coder Next accepts text. DeepSeek OCR 2 handles the widest range of inputs.
Are any of these open source?
DeepSeek OCR 2 and Qwen3 Coder Next publishes its weights and can be self-hosted; MiniMax-M2 Her is proprietary.
Which is newer?
Qwen3 Coder Next is the newest, released Feb 3, 2026. DeepSeek OCR 2 came out Jan 27, 2026; MiniMax-M2 Her came out Jan 23, 2026. Knowledge cutoff: Qwen3 Coder Next Sep 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.
