Morph V3 Large vs Apertus 70B
Too close to call on our weighted score (Apertus 70B 32, Morph V3 Large 30). The right pick depends on what you value most.
Morph
Morph V3 Large
30/100- ECI—
- Price$0.90 / $1.90
- Context262K
Swiss AI
Apertus 70B
32/100- ECI—
- Price$0.82 / $2.42
- Context66K
Add a model
Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 2 points (Apertus 70B 32/100, Morph V3 Large 30/100), so choose by what matters most for your work: Morph V3 Large on price and Morph V3 Large 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 priceMorph V3 LargeMorph V3 Large $1.15 · Apertus 70B $1.22 per 1M tokens (3:1 blend)
- Longest contextMorph V3 LargeMorph V3 Large 262,144 · Apertus 70B 65,536 tokens
- Widest inputsSame inputsMorph V3 Large: Text · Apertus 70B: Text
- Self-hostingApertus 70BPublishes downloadable weights (Apache-2.0)
| Measure | Weight | Morph V3 Large | Apertus 70B |
|---|---|---|---|
| Price | 50% | 45 | 44 |
| Inputs & features | 30% | 0 | 25 |
| Context window | 20% | 37 | 12 |
| Overall | 100% | 30/100 | 32/100 |
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 | Morph V3 LargeMorph | Apertus 70BSwiss AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.90 | $0.82 (best) |
| Output | $1.90 (best) | $2.42 |
| Cached input | — | — |
| Blended (3:1) | $1.15 (best) | $1.22 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 5 providers | Median of 3 providers |
| Limits | ||
| Context window | 262,144 tokens (best) | 65,536 tokens |
| Max output | 131,072 tokens (best) | 8,192 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | No | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | OpenApache-2.0 |
| API model ID | — | — |
| API providers | 5 (best) | 3 |
| Released | Jul 7, 2025 | Sep 2, 2025 |
| 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.
- Morph V3 Large$12.80
- Apertus 70B$13.04
Which should you choose?
Which is better: Morph V3 Large or Apertus 70B?
It is close. Our weighted score puts them within 2 points (Apertus 70B 32/100, Morph V3 Large 30/100), so choose by what matters most for your work: Morph V3 Large on price and Morph V3 Large 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, Morph V3 Large or Apertus 70B?
Morph V3 Large is cheaper at $0.90 input / $1.90 output per million tokens (median across 5 API providers). Apertus 70B costs $0.82 input / $2.42 output per million tokens (median across 3 API providers). At a typical mix of three input tokens to one output token, that is $1.15 per million tokens for Morph V3 Large versus $1.22 for Apertus 70B (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Morph V3 Large has not been scored yet and Apertus 70B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Morph V3 Large and Apertus 70B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Morph V3 Large does not support tool calling, which most coding agents need.
Which has the bigger context window?
Morph V3 Large has the largest context window at 262,144 tokens, against 65,536 for Apertus 70B. Maximum output per response: Morph V3 Large up to 131,072, Apertus 70B up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Morph V3 Large accepts text; Apertus 70B accepts text. They handle the same number of input types.
Are any of these open source?
Apertus 70B publishes its weights (Apache-2.0) and can be self-hosted; Morph V3 Large is proprietary.
Which is newer?
Apertus 70B is the newest, released Sep 2, 2025. Morph V3 Large came out Jul 7, 2025. Knowledge cutoff: Apertus 70B 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 Nov 2, 2026.
Related comparisons
- Add GLM-4.5Three-way comparison
- Morph V3 Large vs GLM-4.5Z.ai (Zhipu)
- Morph V3 Large vs MiniMax M1 80KMiniMax
- Morph V3 Large vs Kimi K2 Instruct 0905Moonshot AI
- Apertus 70B vs Kimi K2 Instruct 0905Moonshot AI
- Apertus 70B vs Qwen3 VL 235B A22B ThinkingAlibaba (Qwen)
- Apertus 70B vs Hermes 4 405BNous Research
