Seed-OSS-36B-Instruct vs Qwen3 30B-A3B Instruct 2507 vs Claude Haiku 4.5
Claude Haiku 4.5 comes out ahead, 66 to 60 and 49 on our weighted score, though Qwen3 30B-A3B Instruct 2507 is 13× cheaper per token.
ByteDance SeedSeed-OSS-36B-Instruct
60/100- ECI—
- Price—
- Context524K
Alibaba (Qwen)Qwen3 30B-A3B Instruct 2507
49/100- ECI137.3
- Price$0.10 / $0.30
- Context262K
- Our pick
AnthropicClaude Haiku 4.5
66/100- ECI142.2
- Price$1.00 / $5.00
- Context200K
Claude Haiku 4.5 is our pick
Claude Haiku 4.5 is the better all-round choice, scoring 66/100 against Seed-OSS-36B-Instruct (60) and Qwen3 30B-A3B Instruct 2507 (49). It leads on inputs & features. Seed-OSS-36B-Instruct wins on context window. The score weighs capability 67%, inputs & features 20%, context window 13%. Capability uses the average of shared benchmarks (GPQA Diamond and OTIS Mock AIME 2024–2025), because Seed-OSS-36B-Instruct has no Capabilities Index score yet.
- CapabilitySeed-OSS-36B-InstructShared benchmarks: Seed-OSS-36B-Instruct 69.5% · Claude Haiku 4.5 68.9% · Qwen3 30B-A3B Instruct 2507 58.9%
- Lowest priceQwen3 30B-A3B Instruct 2507Qwen3 30B-A3B Instruct 2507 $0.15 · Claude Haiku 4.5 $2.00 per 1M tokens (3:1 blend) · Seed-OSS-36B-Instruct unpriced
- Longest contextSeed-OSS-36B-InstructSeed-OSS-36B-Instruct 524,288 · Qwen3 30B-A3B Instruct 2507 262,144 · Claude Haiku 4.5 200,000 tokens
- Widest inputsClaude Haiku 4.5Seed-OSS-36B-Instruct: Text · Qwen3 30B-A3B Instruct 2507: Text · Claude Haiku 4.5: Text, Images, PDFs
- Self-hostingSeed-OSS-36B-Instruct and Qwen3 30B-A3B Instruct 2507Publishes downloadable weights (Apache 2.0)
| Measure | Weight | Seed-OSS-36B-Instruct | Qwen3 30B-A3B Instruct 2507 | Claude Haiku 4.5 |
|---|---|---|---|---|
| CapabilityShared benchmarks | 67% | 70 | 59 | 69 |
| Inputs & features | 20% | 35 | 25 | 80 |
| Context window | 13% | 49 | 37 | 32 |
| Overall | 100% | 60/100 | 49/100 | 66/100 |
Left out because at least one model lacks the data: price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Seed-OSS-36B-InstructByteDance Seed | Qwen3 30B-A3B Instruct 2507Alibaba (Qwen) | Claude Haiku 4.5Anthropic |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 137.3 | 142.2 (best) |
| ECI rank | — | #124 of 165 | #102 of 165 (best) |
| GPQA DiamondGraduate-level science questions | 71.5% (best) | 55.6% | 71.2% |
| OTIS Mock AIME 2024–2025Competition mathematics | 67.5% (best) | 62.2% | 66.7% |
| SimpleQA VerifiedShort factual questions | — | — | 13.2% |
| Price per million tokens | |||
| Input | — | $0.10 (best) | $1.00 |
| Output | — | $0.30 (best) | $5.00 |
| Cached input | — | — | $0.10 |
| Blended (3:1) | — | $0.15 (best) | $2.00 |
| Long-context rate | — | Same rate | Same rate |
| Price source | — | Median of 12 providers | Official Anthropic API |
| Limits | |||
| Context window | 524,288 tokens (best) | 262,144 tokens | 200,000 tokens |
| Max output | 524,288 tokens (best) | 16,384 tokens | 64,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | OpenApache 2.0 | OpenApache 2.0 | Proprietary |
| API model ID | — | — | claude-haiku-4-5 |
| API providers | — | 14 | 48 (best) |
| Released | Aug 20, 2025 | Jul 28, 2025 | Oct 15, 2025 |
| Knowledge cutoff | Jul 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.
- Seed-OSS-36B-Instruct—
- Qwen3 30B-A3B Instruct 2507$1.60
- Claude Haiku 4.5$20.00
Which should you choose?
Which is better: Seed-OSS-36B-Instruct, Qwen3 30B-A3B Instruct 2507 or Claude Haiku 4.5?
Claude Haiku 4.5 is the better all-round choice, scoring 66/100 against Seed-OSS-36B-Instruct (60) and Qwen3 30B-A3B Instruct 2507 (49). It leads on inputs & features. Seed-OSS-36B-Instruct wins on context window. The score weighs capability 67%, inputs & features 20%, context window 13%. Capability uses the average of shared benchmarks (GPQA Diamond and OTIS Mock AIME 2024–2025), because Seed-OSS-36B-Instruct has no Capabilities Index score yet.
Which is cheaper, Seed-OSS-36B-Instruct, Qwen3 30B-A3B Instruct 2507 or Claude Haiku 4.5?
Qwen3 30B-A3B Instruct 2507 is cheaper at $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 $0.15 per million tokens for Qwen3 30B-A3B Instruct 2507 versus $2.00 for Claude Haiku 4.5 (13× as much). Seed-OSS-36B-Instruct has no published per-token price.
Which scores higher on benchmarks?
Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (GPQA Diamond and OTIS Mock AIME 2024–2025): Seed-OSS-36B-Instruct 69.5%, Claude Haiku 4.5 68.9% and Qwen3 30B-A3B Instruct 2507 58.9%. On individual benchmarks: GPQA Diamond — Seed-OSS-36B-Instruct 71.5%, Claude Haiku 4.5 71.2%, Qwen3 30B-A3B Instruct 2507 55.6%; OTIS Mock AIME 2024–2025 — Seed-OSS-36B-Instruct 67.5%, 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 Seed-OSS-36B-Instruct, Qwen3 30B-A3B Instruct 2507 and Claude Haiku 4.5 yet, so there is no like-for-like coding score. On overall capability, Seed-OSS-36B-Instruct 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?
Seed-OSS-36B-Instruct has the largest context window at 524,288 tokens, against 262,144 for Qwen3 30B-A3B Instruct 2507 and 200,000 for Claude Haiku 4.5. Maximum output per response: Seed-OSS-36B-Instruct up to 524,288, Qwen3 30B-A3B Instruct 2507 up to 16,384, Claude Haiku 4.5 up to 64,000 tokens.
Which can read images, PDFs, audio or video?
Seed-OSS-36B-Instruct accepts text; Qwen3 30B-A3B Instruct 2507 accepts text; Claude Haiku 4.5 accepts text, images and PDFs. Claude Haiku 4.5 handles the widest range of inputs.
Are any of these open source?
Seed-OSS-36B-Instruct and Qwen3 30B-A3B Instruct 2507 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. Seed-OSS-36B-Instruct came out Aug 20, 2025; Qwen3 30B-A3B Instruct 2507 came out Jul 28, 2025. Knowledge cutoff: Seed-OSS-36B-Instruct Jul 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.
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