Qwen3 VL 235B A22B Instruct vs Apertus 70B
Qwen3 VL 235B A22B Instruct comes out ahead, 53 to 33 on our weighted score, and it is the cheaper option too.
- Our pick
Alibaba (Qwen)
Qwen3 VL 235B A22B Instruct
53/100- ECI—
- Price$0.30 / $1.55
- Context131K
Swiss AI
Apertus 70B
33/100- ECI—
- Price$0.82 / $2.42
- Context66K
Add a model
Make it a three-way comparison.
Qwen3 VL 235B A22B Instruct is our pick
Qwen3 VL 235B A22B Instruct is the better all-round choice, scoring 53/100 against Apertus 70B (33). It leads on price, inputs & features 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 VL 235B A22B InstructQwen3 VL 235B A22B Instruct $0.613 · Apertus 70B $1.22 per 1M tokens (3:1 blend)
- Longest contextQwen3 VL 235B A22B InstructQwen3 VL 235B A22B Instruct 131,072 · Apertus 70B 65,536 tokens
- Widest inputsQwen3 VL 235B A22B InstructQwen3 VL 235B A22B Instruct: Text, Images · Apertus 70B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Qwen3 VL 235B A22B Instruct | Apertus 70B |
|---|---|---|---|
| Price | 50% | 60 | 46 |
| Inputs & features | 30% | 60 | 25 |
| Context window | 20% | 24 | 12 |
| Overall | 100% | 53/100 | 33/100 |
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 | Apertus 70BSwiss AI | |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.30 (best) | $0.82 |
| Output | $1.55 (best) | $2.42 |
| Cached input | — | — |
| Blended (3:1) | $0.613 (best) | $1.22 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 12 providers | Median of 3 providers |
| Limits | ||
| Context window | 131,072 tokens (best) | 65,536 tokens |
| Max output | 32,768 tokens (best) | 8,192 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | Yes | No |
| Availability | ||
| Weights | Open | OpenApache-2.0 |
| API model ID | — | — |
| API providers | 12 (best) | 3 |
| Released | Sep 23, 2025 | Sep 2, 2025 |
| Knowledge cutoff | Mar 31, 2025 | 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.
Qwen3 VL 235B A22B Instruct$6.10
- Apertus 70B$13.04
Which should you choose?
Which is better: Qwen3 VL 235B A22B Instruct or Apertus 70B?
Qwen3 VL 235B A22B Instruct is the better all-round choice, scoring 53/100 against Apertus 70B (33). It leads on price, inputs & features 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, Qwen3 VL 235B A22B Instruct or Apertus 70B?
Qwen3 VL 235B A22B Instruct is cheaper at $0.30 input / $1.55 output per million tokens (median across 12 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 $0.613 per million tokens for Qwen3 VL 235B A22B Instruct versus $1.22 for Apertus 70B (2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Qwen3 VL 235B A22B Instruct 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 Qwen3 VL 235B A22B Instruct and Apertus 70B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Qwen3 VL 235B A22B Instruct has the largest context window at 131,072 tokens, against 65,536 for Apertus 70B. Maximum output per response: Qwen3 VL 235B A22B Instruct up to 32,768, Apertus 70B up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Qwen3 VL 235B A22B Instruct accepts text and images; Apertus 70B accepts text. Qwen3 VL 235B A22B Instruct handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights (Apache-2.0), so you can self-host them.
Which is newer?
Qwen3 VL 235B A22B Instruct is the newest, released Sep 23, 2025. Apertus 70B came out Sep 2, 2025. Knowledge cutoff: Qwen3 VL 235B A22B Instruct Mar 31, 2025, 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 Oct 4, 2026.