Qwen3-Next 80B-A3B (Thinking) vs Claude Haiku 4.5 vs Apertus 70B
Claude Haiku 4.5 comes out ahead, 48 to 34 and 33 on our weighted score, though Apertus 70B is 39% cheaper per token.
Alibaba (Qwen)Qwen3-Next 80B-A3B (Thinking)
34/100- ECI—
- Price$0.50 / $6.00
- Context131K
- Our pick
AnthropicClaude Haiku 4.5
48/100- ECI142.4
- Price$1.00 / $5.00
- Context200K
Swiss AI
Apertus 70B
33/100- ECI—
- Price$0.82 / $2.42
- Context66K
Claude Haiku 4.5 is our pick
Claude Haiku 4.5 is the better all-round choice, scoring 48/100 against Qwen3-Next 80B-A3B (Thinking) (34) and Apertus 70B (33). It leads on inputs & features and context window. Apertus 70B wins 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 priceApertus 70BApertus 70B $1.22 · Qwen3-Next 80B-A3B (Thinking) $1.88 · Claude Haiku 4.5 $2.00 per 1M tokens (3:1 blend)
- Longest contextClaude Haiku 4.5Claude Haiku 4.5 200,000 · Qwen3-Next 80B-A3B (Thinking) 131,072 · Apertus 70B 65,536 tokens
- Widest inputsClaude Haiku 4.5Qwen3-Next 80B-A3B (Thinking): Text · Claude Haiku 4.5: Text, Images, PDFs · Apertus 70B: Text
- Self-hostingQwen3-Next 80B-A3B (Thinking) and Apertus 70BPublishes downloadable weights (Apache-2.0)
| Measure | Weight | Qwen3-Next 80B-A3B (Thinking) | Claude Haiku 4.5 | Apertus 70B |
|---|---|---|---|---|
| Price | 50% | 37 | 36 | 46 |
| Inputs & features | 30% | 35 | 80 | 25 |
| Context window | 20% | 24 | 32 | 12 |
| Overall | 100% | 34/100 | 48/100 | 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 | Qwen3-Next 80B-A3B (Thinking)Alibaba (Qwen) | Claude Haiku 4.5Anthropic | Apertus 70BSwiss AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 142.4 | — |
| ECI rank | — | #90 of 148 | — |
| GPQA DiamondGraduate-level science questions | — | 71.2% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 66.7% | — |
| SimpleQA VerifiedShort factual questions | — | 13.2% | — |
| Price per million tokens | |||
| Input | $0.50 (best) | $1.00 | $0.82 |
| Output | $6.00 | $5.00 | $2.42 (best) |
| Cached input | — | $0.10 | — |
| Blended (3:1) | $1.88 | $2.00 | $1.22 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Alibaba API | Official Anthropic API | Median of 3 providers |
| Limits | |||
| Context window | 131,072 tokens | 200,000 tokens (best) | 65,536 tokens |
| Max output | 32,768 tokens | 64,000 tokens (best) | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | Yes | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Open | Proprietary | OpenApache-2.0 |
| API model ID | qwen3-next-80b-a3b-thinking | claude-haiku-4-5 | — |
| API providers | 10 | 34 (best) | 3 |
| Released | Sep 2025 | Oct 15, 2025 | Sep 2, 2025 |
| Knowledge cutoff | Apr 2025 | Feb 28, 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-Next 80B-A3B (Thinking)$17.00
- Claude Haiku 4.5$20.00
- Apertus 70B$13.04
Which should you choose?
Which is better: Qwen3-Next 80B-A3B (Thinking), Claude Haiku 4.5 or Apertus 70B?
Claude Haiku 4.5 is the better all-round choice, scoring 48/100 against Qwen3-Next 80B-A3B (Thinking) (34) and Apertus 70B (33). It leads on inputs & features and context window. Apertus 70B wins 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, Qwen3-Next 80B-A3B (Thinking), Claude Haiku 4.5 or Apertus 70B?
Apertus 70B is cheaper at $0.82 input / $2.42 output per million tokens (median across 3 API providers). Qwen3-Next 80B-A3B (Thinking) costs $0.50 input / $6.00 output per million tokens (official Alibaba API price); Claude Haiku 4.5 costs $1.00 input / $5.00 output per million tokens (official Anthropic API price). At a typical mix of three input tokens to one output token, that is $1.22 per million tokens for Apertus 70B versus $1.88 for Qwen3-Next 80B-A3B (Thinking) (1.5× as much) and $2.00 for Claude Haiku 4.5 (1.6× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Qwen3-Next 80B-A3B (Thinking) has not been scored yet, Claude Haiku 4.5 has an ECI of 142.4 and Apertus 70B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3-Next 80B-A3B (Thinking), Claude Haiku 4.5 and Apertus 70B 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?
Claude Haiku 4.5 has the largest context window at 200,000 tokens, against 131,072 for Qwen3-Next 80B-A3B (Thinking) and 65,536 for Apertus 70B. Maximum output per response: Qwen3-Next 80B-A3B (Thinking) up to 32,768, Claude Haiku 4.5 up to 64,000, Apertus 70B up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Qwen3-Next 80B-A3B (Thinking) accepts text; Claude Haiku 4.5 accepts text, images and PDFs; Apertus 70B accepts text. Claude Haiku 4.5 handles the widest range of inputs.
Are any of these open source?
Qwen3-Next 80B-A3B (Thinking) and Apertus 70B publishes its weights (Apache-2.0) and can be self-hosted; Claude Haiku 4.5 is proprietary.
Which is newer?
Claude Haiku 4.5 is the newest, released Oct 15, 2025. Apertus 70B came out Sep 2, 2025; Qwen3-Next 80B-A3B (Thinking) came out Sep 2025. Knowledge cutoff: Qwen3-Next 80B-A3B (Thinking) Apr 2025, Claude Haiku 4.5 Feb 28, 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.
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