GLM-4.5 vs MiniMax M1 80K vs Palmyra X5
Too close to call on our weighted score (Palmyra X5 47, MiniMax M1 80K 47, GLM-4.5 39). The right pick depends on what you value most.
Z.ai (Zhipu)
GLM-4.5
39/100- ECI—
- Price$0.60 / $2.20
- Context131K
MiniMax
MiniMax M1 80K
47/100- ECI—
- Price$0.55 / $2.20
- Context1M
Writer
Palmyra X5
47/100- ECI—
- Price$0.60 / $6.00
- Context1M
Too close to call
It is close. Our weighted score puts them within a point (Palmyra X5 47/100, MiniMax M1 80K 47/100, GLM-4.5 39/100), so choose by what matters most for your work: MiniMax M1 80K on price. 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 priceMiniMax M1 80KMiniMax M1 80K $0.963 · GLM-4.5 $1.00 · Palmyra X5 $1.95 per 1M tokens (3:1 blend)
- Longest contextMiniMax M1 80K and Palmyra X5MiniMax M1 80K 1,000,000 · Palmyra X5 1,000,000 · GLM-4.5 131,072 tokens
- Widest inputsPalmyra X5GLM-4.5: Text · MiniMax M1 80K: Text · Palmyra X5: Text, Images
- Self-hostingGLM-4.5 and MiniMax M1 80KPublishes downloadable weights (Apache-2.0)
| Measure | Weight | GLM-4.5 | MiniMax M1 80K | Palmyra X5 |
|---|---|---|---|---|
| Price | 50% | 48 | 48 | 35 |
| Inputs & features | 30% | 35 | 35 | 60 |
| Context window | 20% | 25 | 60 | 60 |
| Overall | 100% | 39/100 | 47/100 | 47/100 |
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 | Palmyra X5Writer | ||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.60 | $0.55 (best) | $0.60 |
| Output | $2.20 (best) | $2.20 (best) | $6.00 |
| Cached input | $0.11 | — | — |
| Blended (3:1) | $1.00 | $0.963 (best) | $1.95 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Z.AI API | Median of 5 providers | Median of 4 providers |
| Limits | |||
| Context window | 131,072 tokens | 1,000,000 tokens (best) | 1,000,000 tokens (best) |
| Max output | 98,304 tokens (best) | 80,000 tokens | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | OpenApache-2.0 | Proprietary |
| API model ID | glm-4.5 | — | — |
| API providers | 19 (best) | 5 | 4 |
| Released | Jul 28, 2025 | Jun 17, 2025 | Apr 28, 2025 |
| Knowledge cutoff | 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.
GLM-4.5$10.40
MiniMax M1 80K$9.90
- Palmyra X5$18.00
Which should you choose?
Which is better: GLM-4.5, MiniMax M1 80K or Palmyra X5?
It is close. Our weighted score puts them within a point (Palmyra X5 47/100, MiniMax M1 80K 47/100, GLM-4.5 39/100), so choose by what matters most for your work: MiniMax M1 80K on price. 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, GLM-4.5, MiniMax M1 80K or Palmyra X5?
MiniMax M1 80K is cheaper at $0.55 input / $2.20 output per million tokens (median across 5 API providers). GLM-4.5 costs $0.60 input / $2.20 output per million tokens (official Z.AI API price); Palmyra X5 costs $0.60 input / $6.00 output per million tokens (median across 4 API providers). At a typical mix of three input tokens to one output token, that is $0.963 per million tokens for MiniMax M1 80K versus $1.00 for GLM-4.5 (1× as much) and $1.95 for Palmyra X5 (2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GLM-4.5 has not been scored yet, MiniMax M1 80K has not been scored yet and Palmyra X5 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-4.5, MiniMax M1 80K and Palmyra X5 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?
MiniMax M1 80K and Palmyra X5 have the largest context windows (1,000,000 and 1,000,000 tokens), against 131,072 for GLM-4.5. Maximum output per response: GLM-4.5 up to 98,304, MiniMax M1 80K up to 80,000, Palmyra X5 up to 8,192 tokens.
Which can read images, PDFs, audio or video?
GLM-4.5 accepts text; MiniMax M1 80K accepts text; Palmyra X5 accepts text and images. Palmyra X5 handles the widest range of inputs.
Are any of these open source?
GLM-4.5 and MiniMax M1 80K publishes its weights (Apache-2.0) and can be self-hosted; Palmyra X5 is proprietary.
Which is newer?
GLM-4.5 is the newest, released Jul 28, 2025. MiniMax M1 80K came out Jun 17, 2025; Palmyra X5 came out Apr 28, 2025. Knowledge cutoff: GLM-4.5 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 Nov 2, 2026.