GPT-5 Nano vs Claude Haiku 4.5 vs Qwen3 30B-A3B Instruct 2507
GPT-5 Nano comes out ahead, 68 to 59 and 57 on our weighted score, and it is the cheaper option too.
- Our pick
OpenAIGPT-5 Nano
68/100- ECI139.3
- Price$0.05 / $0.40
- Context400K
AnthropicClaude Haiku 4.5
57/100- ECI142.2
- Price$1.00 / $5.00
- Context200K
Alibaba (Qwen)Qwen3 30B-A3B Instruct 2507
59/100- ECI137.3
- Price$0.10 / $0.30
- Context262K
GPT-5 Nano is our pick
GPT-5 Nano is the better all-round choice, scoring 68/100 against Qwen3 30B-A3B Instruct 2507 (59) and Claude Haiku 4.5 (57). It leads on price and context window. Claude Haiku 4.5 wins on capability and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityClaude Haiku 4.5Capabilities Index (ECI): Claude Haiku 4.5 142.2 · GPT-5 Nano 139.3 · Qwen3 30B-A3B Instruct 2507 137.3
- Lowest priceGPT-5 NanoGPT-5 Nano $0.138 · Qwen3 30B-A3B Instruct 2507 $0.15 · Claude Haiku 4.5 $2.00 per 1M tokens (3:1 blend)
- Longest contextGPT-5 NanoGPT-5 Nano 400,000 · Qwen3 30B-A3B Instruct 2507 262,144 · Claude Haiku 4.5 200,000 tokens
- Widest inputsClaude Haiku 4.5GPT-5 Nano: Text, Images · Claude Haiku 4.5: Text, Images, PDFs · Qwen3 30B-A3B Instruct 2507: Text
- Self-hostingQwen3 30B-A3B Instruct 2507Publishes downloadable weights (Apache 2.0)
| Measure | Weight | GPT-5 Nano | Claude Haiku 4.5 | Qwen3 30B-A3B Instruct 2507 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 63 | 67 | 61 |
| Price | 25% | 87 | 34 | 85 |
| Inputs & features | 15% | 70 | 80 | 25 |
| Context window | 10% | 44 | 32 | 37 |
| Overall | 100% | 68/100 | 57/100 | 59/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GPT-5 NanoOpenAI | Claude Haiku 4.5Anthropic | Qwen3 30B-A3B Instruct 2507Alibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 139.3 | 142.2 (best) | 137.3 |
| ECI rank | #116 of 165 | #102 of 165 (best) | #124 of 165 |
| GPQA DiamondGraduate-level science questions | 69.4% | 71.2% (best) | 55.6% |
| FrontierMath Tiers 1–3Research-level mathematics | 20.0% | — | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 81.1% (best) | 66.7% | 62.2% |
| SimpleQA VerifiedShort factual questions | 11.7% | 13.2% (best) | — |
| Price per million tokens | |||
| Input | $0.05 (best) | $1.00 | $0.10 |
| Output | $0.40 | $5.00 | $0.30 (best) |
| Cached input | $0.005 (best) | $0.10 | — |
| Blended (3:1) | $0.138 (best) | $2.00 | $0.15 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official OpenAI API | Official Anthropic API | Median of 12 providers |
| Limits | |||
| Context window | 400,000 tokens (best) | 200,000 tokens | 262,144 tokens |
| Max output | 128,000 tokens (best) | 64,000 tokens | 16,384 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | Yes | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yesminimal · low · medium · high | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Proprietary | Proprietary | OpenApache 2.0 |
| API model ID | gpt-5-nano | claude-haiku-4-5 | — |
| API providers | 30 | 48 (best) | 14 |
| Released | Aug 7, 2025 | Oct 15, 2025 | Jul 28, 2025 |
| Knowledge cutoff | May 30, 2024 | 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.
- GPT-5 Nano$1.30
- Claude Haiku 4.5$20.00
- Qwen3 30B-A3B Instruct 2507$1.60
Which should you choose?
Which is better: GPT-5 Nano, Claude Haiku 4.5 or Qwen3 30B-A3B Instruct 2507?
GPT-5 Nano is the better all-round choice, scoring 68/100 against Qwen3 30B-A3B Instruct 2507 (59) and Claude Haiku 4.5 (57). It leads on price and context window. Claude Haiku 4.5 wins on capability and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT-5 Nano, Claude Haiku 4.5 or Qwen3 30B-A3B Instruct 2507?
GPT-5 Nano is cheaper at $0.05 input / $0.40 output per million tokens (official OpenAI API price). Qwen3 30B-A3B Instruct 2507 costs $0.10 input / $0.30 output per million tokens (median across 12 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 $0.138 per million tokens for GPT-5 Nano versus $0.15 for Qwen3 30B-A3B Instruct 2507 (1.1× as much) and $2.00 for Claude Haiku 4.5 (15× as much).
Which scores higher on benchmarks?
Claude Haiku 4.5 scores higher on the Capabilities Index (ECI): Claude Haiku 4.5 142.2 (#102 of 165), GPT-5 Nano 139.3 (#116 of 165) and Qwen3 30B-A3B Instruct 2507 137.3 (#124 of 165). The confidence ranges of the top two overlap (139.4–143.9 vs 134.3–141.5), so treat the gap as small. On individual benchmarks: GPQA Diamond — Claude Haiku 4.5 71.2%, GPT-5 Nano 69.4%, Qwen3 30B-A3B Instruct 2507 55.6%; OTIS Mock AIME 2024–2025 — GPT-5 Nano 81.1%, Claude Haiku 4.5 66.7%, Qwen3 30B-A3B Instruct 2507 62.2%.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5 Nano, Claude Haiku 4.5 and Qwen3 30B-A3B Instruct 2507 yet, so there is no like-for-like coding score. On overall capability, Claude Haiku 4.5 leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.
Which has the bigger context window?
GPT-5 Nano has the largest context window at 400,000 tokens, against 262,144 for Qwen3 30B-A3B Instruct 2507 and 200,000 for Claude Haiku 4.5. Maximum output per response: GPT-5 Nano up to 128,000, Claude Haiku 4.5 up to 64,000, Qwen3 30B-A3B Instruct 2507 up to 16,384 tokens.
Which can read images, PDFs, audio or video?
GPT-5 Nano accepts text and images; Claude Haiku 4.5 accepts text, images and PDFs; Qwen3 30B-A3B Instruct 2507 accepts text. Claude Haiku 4.5 handles the widest range of inputs.
Are any of these open source?
Qwen3 30B-A3B Instruct 2507 publishes its weights (Apache 2.0) and can be self-hosted; GPT-5 Nano and Claude Haiku 4.5 is proprietary.
Which is newer?
Claude Haiku 4.5 is the newest, released Oct 15, 2025. GPT-5 Nano came out Aug 7, 2025; Qwen3 30B-A3B Instruct 2507 came out Jul 28, 2025. Knowledge cutoff: GPT-5 Nano May 30, 2024, 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.
Related comparisons
- GPT-5 Nano vs DeepSeek-V3.1DeepSeek · ECI 139.8
- GPT-5 Nano vs Gemma 4 26B A4B ITGoogle · ECI 142.0
- GPT-5 Nano vs Seed-OSS-36B-InstructByteDance Seed
- Claude Haiku 4.5 vs GLM-4.7Z.ai (Zhipu) · ECI 143.7
- Claude Haiku 4.5 vs Mistral Medium 3.5Mistral AI · ECI 141.5
- Claude Haiku 4.5 vs Qwen3 235B-A22B Thinking 2507Alibaba (Qwen) · ECI 143.8
