Qwen3 VL 30B A3B Instruct vs Claude Haiku 4.5 vs Grok 4.1 Fast
Grok 4.1 Fast comes out ahead, 66 to 62 and 47 on our weighted score.
Alibaba (Qwen)Qwen3 VL 30B A3B Instruct
62/100- ECI—
- Price$0.15 / $0.60
- Context262K
AnthropicClaude Haiku 4.5
47/100- ECI142.2
- Price$1.00 / $5.00
- Context200K
- Our pick
xAIGrok 4.1 Fast
66/100- ECI—
- Price$0.20 / $0.50
- Context2M
Grok 4.1 Fast is our pick
Grok 4.1 Fast is the better all-round choice, scoring 66/100 against Qwen3 VL 30B A3B Instruct (62) and Claude Haiku 4.5 (47). It leads on context window. Claude Haiku 4.5 wins on inputs & features. 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 30B A3B InstructQwen3 VL 30B A3B Instruct $0.263 · Grok 4.1 Fast $0.275 · Claude Haiku 4.5 $2.00 per 1M tokens (3:1 blend)
- Longest contextGrok 4.1 FastGrok 4.1 Fast 2,000,000 · Qwen3 VL 30B A3B Instruct 262,144 · Claude Haiku 4.5 200,000 tokens
- Widest inputsQwen3 VL 30B A3B Instruct and Claude Haiku 4.5Qwen3 VL 30B A3B Instruct: Text, Images, Video · Claude Haiku 4.5: Text, Images, PDFs · Grok 4.1 Fast: Text, Images
- Self-hostingQwen3 VL 30B A3B InstructPublishes downloadable weights (Apache-2.0)
| Measure | Weight | Qwen3 VL 30B A3B Instruct | Claude Haiku 4.5 | Grok 4.1 Fast |
|---|---|---|---|---|
| Price | 50% | 74 | 34 | 73 |
| Inputs & features | 30% | 60 | 80 | 50 |
| Context window | 20% | 37 | 32 | 72 |
| Overall | 100% | 62/100 | 47/100 | 66/100 |
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 VL 30B A3B InstructAlibaba (Qwen) | Claude Haiku 4.5Anthropic | Grok 4.1 FastxAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 142.2 | — |
| ECI rank | — | #102 of 165 | — |
| 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 | $0.15 (best) | $1.00 | $0.20 |
| Output | $0.60 | $5.00 | $0.50 (best) |
| Cached input | — | $0.10 | — |
| Blended (3:1) | $0.263 (best) | $2.00 | $0.275 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 13 providers | Official Anthropic API | Median of 6 providers |
| Limits | |||
| Context window | 262,144 tokens | 200,000 tokens | 2,000,000 tokens (best) |
| Max output | 32,768 tokens | 64,000 tokens (best) | 30,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | Yes | No |
| Audio | No | No | No |
| Video | Yes | No | No |
| Reasoning | No | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | OpenApache-2.0 | Proprietary | Proprietary |
| API model ID | — | claude-haiku-4-5 | — |
| API providers | 13 | 48 (best) | 8 |
| Released | Oct 4, 2025 | Oct 15, 2025 | Nov 19, 2025 |
| Knowledge cutoff | — | Feb 28, 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 30B A3B Instruct$2.70
- Claude Haiku 4.5$20.00
- Grok 4.1 Fast$3.00
Which should you choose?
Which is better: Qwen3 VL 30B A3B Instruct, Claude Haiku 4.5 or Grok 4.1 Fast?
Grok 4.1 Fast is the better all-round choice, scoring 66/100 against Qwen3 VL 30B A3B Instruct (62) and Claude Haiku 4.5 (47). It leads on context window. Claude Haiku 4.5 wins on inputs & features. 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 30B A3B Instruct, Claude Haiku 4.5 or Grok 4.1 Fast?
Qwen3 VL 30B A3B Instruct is cheaper at $0.15 input / $0.60 output per million tokens (median across 13 API providers). Grok 4.1 Fast costs $0.20 input / $0.50 output per million tokens (median across 6 API providers); 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 $0.263 per million tokens for Qwen3 VL 30B A3B Instruct versus $0.275 for Grok 4.1 Fast (1× as much) and $2.00 for Claude Haiku 4.5 (7.6× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Qwen3 VL 30B A3B Instruct has not been scored yet, Claude Haiku 4.5 has an ECI of 142.2 and Grok 4.1 Fast has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3 VL 30B A3B Instruct, Claude Haiku 4.5 and Grok 4.1 Fast 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?
Grok 4.1 Fast has the largest context window at 2,000,000 tokens, against 262,144 for Qwen3 VL 30B A3B Instruct and 200,000 for Claude Haiku 4.5. Maximum output per response: Qwen3 VL 30B A3B Instruct up to 32,768, Claude Haiku 4.5 up to 64,000, Grok 4.1 Fast up to 30,000 tokens.
Which can read images, PDFs, audio or video?
Qwen3 VL 30B A3B Instruct accepts text, images and video; Claude Haiku 4.5 accepts text, images and PDFs; Grok 4.1 Fast accepts text and images. Qwen3 VL 30B A3B Instruct handles the widest range of inputs.
Are any of these open source?
Qwen3 VL 30B A3B Instruct publishes its weights (Apache-2.0) and can be self-hosted; Claude Haiku 4.5 and Grok 4.1 Fast is proprietary.
Which is newer?
Grok 4.1 Fast is the newest, released Nov 19, 2025. Claude Haiku 4.5 came out Oct 15, 2025; Qwen3 VL 30B A3B Instruct came out Oct 4, 2025. Knowledge cutoff: Claude Haiku 4.5 Feb 28, 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.
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