Claude Haiku 4.5 vs Llama-3.3-70B-Instruct vs Qwen3 Max
Claude Haiku 4.5 comes out ahead, 58 to 50 and 46 on our weighted score, though Llama-3.3-70B-Instruct is 3.2× cheaper per token.
- Our pick
Anthropic
Claude Haiku 4.5
58/100- ECI142.4
- Price$1.00 / $5.00
- Context200K
Meta
Llama-3.3-70B-Instruct
46/100- ECI127.3
- Price$0.59 / $0.724
- Context128K
Alibaba (Qwen)
Qwen3 Max
50/100- ECI142.4
- Price$1.20 / $6.00
- Context262K
Claude Haiku 4.5 is our pick
Claude Haiku 4.5 is the better all-round choice, scoring 58/100 against Qwen3 Max (50) and Llama-3.3-70B-Instruct (46). It leads on inputs & features. Llama-3.3-70B-Instruct wins on price. Qwen3 Max wins on context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityClaude Haiku 4.5Capabilities Index (ECI): Claude Haiku 4.5 142.4 · Qwen3 Max 142.4 · Llama-3.3-70B-Instruct 127.3
- Lowest priceLlama-3.3-70B-InstructLlama-3.3-70B-Instruct $0.624 · Claude Haiku 4.5 $2.00 · Qwen3 Max $2.40 per 1M tokens (3:1 blend)
- Longest contextQwen3 MaxQwen3 Max 262,144 · Claude Haiku 4.5 200,000 · Llama-3.3-70B-Instruct 128,000 tokens
- Widest inputsClaude Haiku 4.5Claude Haiku 4.5: Text, Images, PDFs · Llama-3.3-70B-Instruct: Text · Qwen3 Max: Text
- Self-hostingLlama-3.3-70B-InstructPublishes downloadable weights
| Measure | Weight | Claude Haiku 4.5 | Llama-3.3-70B-Instruct | Qwen3 Max |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 69 | 49 | 68 |
| Price | 25% | 36 | 60 | 32 |
| Inputs & features | 15% | 80 | 25 | 25 |
| Context window | 10% | 32 | 24 | 37 |
| Overall | 100% | 58/100 | 46/100 | 50/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 142.4 (best) | 127.3 | 142.4 |
| ECI rank | #90 of 148 (best) | #133 of 148 | #91 of 148 |
| GPQA DiamondGraduate-level science questions | 71.2% | 47.4% | 72.6% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | — | — | 19.0% |
| OTIS Mock AIME 2024–2025Competition mathematics | 66.7% | 5.1% | 73.3% (best) |
| SimpleQA VerifiedShort factual questions | 13.2% | — | 48.8% (best) |
| Price per million tokens | |||
| Input | $1.00 | $0.59 (best) | $1.20 |
| Output | $5.00 | $0.724 (best) | $6.00 |
| Cached input | $0.10 | — | — |
| Blended (3:1) | $2.00 | $0.624 (best) | $2.40 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Anthropic API | Median of 21 providers | Official Alibaba API |
| Limits | |||
| Context window | 200,000 tokens | 128,000 tokens | 262,144 tokens (best) |
| Max output | 64,000 tokens | 4,096 tokens | 65,536 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | Yes | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | claude-haiku-4-5 | llama-3.3-70b-instruct | qwen3-max |
| API providers | 34 (best) | 24 | 16 |
| Released | Oct 15, 2025 | Dec 6, 2024 | Sep 23, 2025 |
| Knowledge cutoff | Feb 28, 2025 | Dec 2023 | Apr 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Claude Haiku 4.5$20.00
Llama-3.3-70B-Instruct$7.35
Qwen3 Max$24.00
Which should you choose?
Which is better: Claude Haiku 4.5, Llama-3.3-70B-Instruct or Qwen3 Max?
Claude Haiku 4.5 is the better all-round choice, scoring 58/100 against Qwen3 Max (50) and Llama-3.3-70B-Instruct (46). It leads on inputs & features. Llama-3.3-70B-Instruct wins on price. Qwen3 Max wins on context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Claude Haiku 4.5, Llama-3.3-70B-Instruct or Qwen3 Max?
Llama-3.3-70B-Instruct is cheaper at $0.59 input / $0.724 output per million tokens (median across 21 API providers; free on Llama). Claude Haiku 4.5 costs $1.00 input / $5.00 output per million tokens (official Anthropic API price); Qwen3 Max costs $1.20 input / $6.00 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.624 per million tokens for Llama-3.3-70B-Instruct versus $2.00 for Claude Haiku 4.5 (3.2× as much) and $2.40 for Qwen3 Max (3.8× as much).
Which scores higher on benchmarks?
Claude Haiku 4.5 scores higher on the Capabilities Index (ECI): Claude Haiku 4.5 142.4 (#90 of 148), Qwen3 Max 142.4 (#91 of 148) and Llama-3.3-70B-Instruct 127.3 (#133 of 148). The confidence ranges of the top two overlap (139.5–144.3 vs 140.0–144.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — Qwen3 Max 72.6%, Claude Haiku 4.5 71.2%, Llama-3.3-70B-Instruct 47.4%; OTIS Mock AIME 2024–2025 — Qwen3 Max 73.3%, Claude Haiku 4.5 66.7%, Llama-3.3-70B-Instruct 5.1%.
Which is better for coding?
There are no published SWE-bench Verified results for Claude Haiku 4.5, Llama-3.3-70B-Instruct and Qwen3 Max 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?
Qwen3 Max has the largest context window at 262,144 tokens, against 200,000 for Claude Haiku 4.5 and 128,000 for Llama-3.3-70B-Instruct. Maximum output per response: Claude Haiku 4.5 up to 64,000, Llama-3.3-70B-Instruct up to 4,096, Qwen3 Max up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Claude Haiku 4.5 accepts text, images and PDFs; Llama-3.3-70B-Instruct accepts text; Qwen3 Max accepts text. Claude Haiku 4.5 handles the widest range of inputs.
Are any of these open source?
Llama-3.3-70B-Instruct publishes its weights and can be self-hosted; Claude Haiku 4.5 and Qwen3 Max is proprietary.
Which is newer?
Claude Haiku 4.5 is the newest, released Oct 15, 2025. Qwen3 Max came out Sep 23, 2025; Llama-3.3-70B-Instruct came out Dec 6, 2024. Knowledge cutoff: Claude Haiku 4.5 Feb 28, 2025, Llama-3.3-70B-Instruct Dec 2023, Qwen3 Max Apr 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.