MiniMax M3 vs Qwen3.7-Plus
Side-by-side comparison of API pricing, specs, benchmarks, and capabilities
| Specification |
by Together
2 providers:
Fireworks $0.300/$1.20
Together $0.300/$1.20
|
by Together
|
|---|---|---|
| Overview | ||
| Status | Current budget Open weights | Current budget Open weights |
| Released | Jun 1, 2026 | Jan 1, 2026 |
| Pricing per million tokens | ||
| Input | $0.300/Mtok | $0.320/Mtok |
| Output | $1.20/Mtok | $1.28/Mtok |
| Blended avg | $0.750/Mtok | $0.800/Mtok |
| Cached input | $0.060/Mtok | — |
| Specifications | ||
| Context window | 1M tokens | 128K tokens |
| Parameters | Proprietary | Proprietary |
| Speed (TPS) | — | — |
| Modalities | ||
| Input |
textimage
|
text
|
| Benchmarks sources: Vellum LLM Leaderboard (Jun 2026), MiniMax model card / LMSYS Chatbot Arena (UC Berkeley) | ||
| Independent composite scores measured for both models — each on its own scale | ||
| AA Intelligence Index | 44.4 | 39 |
| AA Agentic Index | 35.4 | 20.8 |
| AA-Omniscience Index (−100–100) | 1.4 | 2.4 |
| GDPval-AA v2 | 1390.7 ELO | — |
| LMSYS Chatbot Arena | — | 1459.4 ELO |
| Per-benchmark results published for MiniMax M3 only — no independent per-benchmark scores exist for Qwen3.7-Plus yet | ||
| Avg benchmark score | 60.7 | — |
| Perf / dollar | 80.9 | — |
| GPQA Diamond | 60 | — |
| SWE-Bench Verified | 45 | — |
| Terminal-Bench 2.1 | 66 | — |
| MCP Atlas | 74.2 | — |
| BrowseComp | 83.5 | — |
| OSWorld-Verified | 70.1 | — |
| Humanity's Last Exam | 22 | — |
| ARC-AGI 2 | 20 | — |
| AIME 2025 | 55 | — |
| MMMLU | 76 | — |
| BFCL | 65 | — |
| HumanEval | 82 | — |
| MATH 500 | 70 | — |
| Providers | ||
| Available from |
Fireworks — $0.300/$1.20/Mtok
Together — $0.300/$1.20/Mtok
|
Together — $0.320/$1.28/Mtok
|
Cost at scale
1M tokens · 50/50 input/output| Volume | MiniMax M3 | Qwen3.7-Plus | Savings |
|---|---|---|---|
| 1M tokens | $0.75 | $0.8 | $0.05 (6.3%) |
| 10M tokens | $7.5 | $8 | $0.5 (6.3%) |
| 100M tokens | $75 | $80 | $5 (6.3%) |
| 1000M tokens | $750 | $800 | $50 (6.3%) |
When to pick which
distilled from the pricing and spec data above- cost dominates: $0.750/Mtok blended vs $0.800 — 6.3% less on the same 50/50 token mix
- your workload re-reads context (agents, RAG, long chats): cached input costs $0.060/Mtok — 80% off its list input price, a discount Qwen3.7-Plus doesn't offer
- you need the longer context: 1M tokens vs 128K (7.8×)
- provider flexibility: available from 2 providers, so you can price-shop hosts or fail over
- this pairing gives Qwen3.7-Plus no edge on price, context, cache discount, or measured performance — pick it only for qualitative fit (ecosystem, compliance, model behavior on your prompts)
The cheaper option here — MiniMax M3 costs $0.750/Mtok blended on Together.
Summary
MiniMax M3 by Together costs $0.300/Mtok input and $1.20/Mtok output, with a 1M-token context window. It supports text, image input and is available from 2 providers.
Qwen3.7-Plus by Together costs $0.320/Mtok input and $1.28/Mtok output, with a 128K-token context window. It supports text input.
On a blended cost basis, MiniMax M3 is 6.3% cheaper than Qwen3.7-Plus. It also has a larger context window.
The two aren't directly comparable on average benchmark score: MiniMax M3 has published per-benchmark results, while Qwen3.7-Plus does not yet — it is measured today on independent composites (see the table above).
Note: Pricing is per million tokens. Actual costs vary with usage patterns, prompt caching, and batch discounts. Always verify against official provider pricing pages.