MiniMax-M2 Her vs Nemotron 3 Ultra 550B A55B vs Qwen3 Coder Next
Too close to call on our weighted score (Qwen3 Coder Next 51, Nemotron 3 Ultra 550B A55B 50, MiniMax-M2 Her 45). The right pick depends on what you value most.
MiniMaxMiniMax-M2 Her
45/100- ECI—
- Price$0.30 / $1.20
- Context66K
NVIDIANemotron 3 Ultra 550B A55B
50/100- ECI146.2
- Price$0.50 / $2.50
- Context1M
Alibaba (Qwen)Qwen3 Coder Next
51/100- ECI—
- Price$0.20 / $1.20
- Context262K
Too close to call
It is close. Our weighted score puts them within a point (Qwen3 Coder Next 51/100, Nemotron 3 Ultra 550B A55B 50/100, MiniMax-M2 Her 45/100), so choose by what matters most for your work: Qwen3 Coder Next on price and Nemotron 3 Ultra 550B A55B 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 priceQwen3 Coder NextQwen3 Coder Next $0.45 · MiniMax-M2 Her $0.525 · Nemotron 3 Ultra 550B A55B $1.00 per 1M tokens (3:1 blend)
- Longest contextNemotron 3 Ultra 550B A55BNemotron 3 Ultra 550B A55B 1,000,000 · Qwen3 Coder Next 262,144 · MiniMax-M2 Her 65,536 tokens
- Widest inputsSame inputsMiniMax-M2 Her: Text · Nemotron 3 Ultra 550B A55B: Text · Qwen3 Coder Next: Text
- Self-hostingNemotron 3 Ultra 550B A55B and Qwen3 Coder NextPublishes downloadable weights
| Measure | Weight | MiniMax-M2 Her | Nemotron 3 Ultra 550B A55B | Qwen3 Coder Next |
|---|---|---|---|---|
| Price | 50% | 63 | 50 | 66 |
| Inputs & features | 30% | 35 | 45 | 35 |
| Context window | 20% | 12 | 60 | 37 |
| Overall | 100% | 45/100 | 50/100 | 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 | Nemotron 3 Ultra 550B A55BNVIDIA | Qwen3 Coder NextAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 146.2 | — |
| ECI rank | — | #70 of 148 | — |
| GPQA DiamondGraduate-level science questions | — | 85.4% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 86.7% | — |
| Price per million tokens | |||
| Input | $0.30 | $0.50 | $0.20 (best) |
| Output | $1.20 (best) | $2.50 | $1.20 (best) |
| Cached input | — | $0.15 | — |
| Blended (3:1) | $0.525 | $1.00 | $0.45 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 4 providers | Official Nvidia API | Median of 11 providers |
| Limits | |||
| Context window | 65,536 tokens | 1,000,000 tokens (best) | 262,144 tokens |
| Max output | 2,048 tokens | 128,000 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Open | Open |
| API model ID | — | nvidia/nemotron-3-ultra-550b-a55b | — |
| API providers | 4 | 21 (best) | 11 |
| Released | Jan 23, 2026 | Jun 4, 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
- Nemotron 3 Ultra 550B A55B$10.00
- Qwen3 Coder Next$4.40
Which should you choose?
Which is better: MiniMax-M2 Her, Nemotron 3 Ultra 550B A55B or Qwen3 Coder Next?
It is close. Our weighted score puts them within a point (Qwen3 Coder Next 51/100, Nemotron 3 Ultra 550B A55B 50/100, MiniMax-M2 Her 45/100), so choose by what matters most for your work: Qwen3 Coder Next on price and Nemotron 3 Ultra 550B A55B 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, MiniMax-M2 Her, Nemotron 3 Ultra 550B A55B 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); Nemotron 3 Ultra 550B A55B costs $0.50 input / $2.50 output per million tokens (official Nvidia API price). 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 $1.00 for Nemotron 3 Ultra 550B A55B (2.2× 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, Nemotron 3 Ultra 550B A55B has an ECI of 146.2 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, Nemotron 3 Ultra 550B A55B and Qwen3 Coder Next 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?
Nemotron 3 Ultra 550B A55B has the largest context window at 1,000,000 tokens, against 262,144 for Qwen3 Coder Next and 65,536 for MiniMax-M2 Her. Maximum output per response: MiniMax-M2 Her up to 2,048, Nemotron 3 Ultra 550B A55B up to 128,000, Qwen3 Coder Next up to 65,536 tokens.
Which can read images, PDFs, audio or video?
MiniMax-M2 Her accepts text; Nemotron 3 Ultra 550B A55B accepts text; Qwen3 Coder Next accepts text. They handle the same number of input types.
Are any of these open source?
Nemotron 3 Ultra 550B A55B and Qwen3 Coder Next publishes its weights and can be self-hosted; MiniMax-M2 Her is proprietary.
Which is newer?
Nemotron 3 Ultra 550B A55B is the newest, released Jun 4, 2026. Qwen3 Coder Next came out Feb 3, 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.
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