Llama-3.1-70B-Instruct vs Claude Haiku 3.5 vs GPT-4o mini
Too close to call on our weighted score (GPT-4o mini 50, Claude Haiku 3.5 49, Llama-3.1-70B-Instruct 40). The right pick depends on what you value most.
MetaLlama-3.1-70B-Instruct
40/100- ECI125.9
- Price$0.72 / $0.72
- Context128K
AnthropicClaude Haiku 3.5
49/100- ECI127.2
- Price—
- Context200K
OpenAIGPT-4o mini
50/100- ECI126.6
- Price$0.15 / $0.60
- Context128K
Too close to call
It is close. Our weighted score puts them within a point (GPT-4o mini 50/100, Claude Haiku 3.5 49/100, Llama-3.1-70B-Instruct 40/100), so choose by what matters most for your work: Claude Haiku 3.5 for raw capability and GPT-4o mini on price. The score weighs capability 67%, inputs & features 20%, context window 13%.
- CapabilityClaude Haiku 3.5Capabilities Index (ECI): Claude Haiku 3.5 127.2 · GPT-4o mini 126.6 · Llama-3.1-70B-Instruct 125.9
- Lowest priceGPT-4o miniGPT-4o mini $0.263 · Llama-3.1-70B-Instruct $0.72 per 1M tokens (3:1 blend) · Claude Haiku 3.5 unpriced
- Longest contextClaude Haiku 3.5Claude Haiku 3.5 200,000 · Llama-3.1-70B-Instruct 128,000 · GPT-4o mini 128,000 tokens
- Widest inputsClaude Haiku 3.5 and GPT-4o miniLlama-3.1-70B-Instruct: Text · Claude Haiku 3.5: Text, Images, PDFs · GPT-4o mini: Text, Images, PDFs
- Self-hostingLlama-3.1-70B-InstructPublishes downloadable weights
| Measure | Weight | Llama-3.1-70B-Instruct | Claude Haiku 3.5 | GPT-4o mini |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 67% | 48 | 49 | 49 |
| Inputs & features | 20% | 25 | 60 | 70 |
| Context window | 13% | 24 | 32 | 24 |
| Overall | 100% | 40/100 | 49/100 | 50/100 |
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 | Llama-3.1-70B-InstructMeta | Claude Haiku 3.5Anthropic | GPT-4o miniOpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 125.9 | 127.2 (best) | 126.6 |
| ECI rank | #136 of 148 | #134 of 148 (best) | #135 of 148 |
| GPQA DiamondGraduate-level science questions | 44.2% (best) | 38.1% | 37.7% |
| FrontierMath Tiers 1–3Research-level mathematics | — | — | 0.7% |
| OTIS Mock AIME 2024–2025Competition mathematics | 3.6% | 4.3% | 6.9% (best) |
| SimpleQA VerifiedShort factual questions | — | — | 8.3% |
| Price per million tokens | |||
| Input | $0.72 | — | $0.15 (best) |
| Output | $0.72 | — | $0.60 (best) |
| Cached input | — | — | $0.075 |
| Blended (3:1) | $0.72 | — | $0.263 (best) |
| Long-context rate | Same rate | — | Same rate |
| Price source | Median of 5 providers | — | Official OpenAI API |
| Limits | |||
| Context window | 128,000 tokens | 200,000 tokens (best) | 128,000 tokens |
| Max output | 4,096 tokens | 8,192 tokens | 16,384 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | Yes | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | — | — | gpt-4o-mini |
| API providers | 5 | — | 21 (best) |
| Released | Jul 23, 2024 | Oct 22, 2024 | Jul 18, 2024 |
| Knowledge cutoff | Dec 2023 | Jul 31, 2024 | Sep 2023 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Llama-3.1-70B-Instruct$8.64
- Claude Haiku 3.5—
- GPT-4o mini$2.70
Which should you choose?
Which is better: Llama-3.1-70B-Instruct, Claude Haiku 3.5 or GPT-4o mini?
It is close. Our weighted score puts them within a point (GPT-4o mini 50/100, Claude Haiku 3.5 49/100, Llama-3.1-70B-Instruct 40/100), so choose by what matters most for your work: Claude Haiku 3.5 for raw capability and GPT-4o mini on price. The score weighs capability 67%, inputs & features 20%, context window 13%.
Which is cheaper, Llama-3.1-70B-Instruct, Claude Haiku 3.5 or GPT-4o mini?
GPT-4o mini is cheaper at $0.15 input / $0.60 output per million tokens (official OpenAI API price). Llama-3.1-70B-Instruct costs $0.72 input / $0.72 output per million tokens (median across 5 API providers). At a typical mix of three input tokens to one output token, that is $0.263 per million tokens for GPT-4o mini versus $0.72 for Llama-3.1-70B-Instruct (2.7× as much). Claude Haiku 3.5 has no published per-token price.
Which scores higher on benchmarks?
Claude Haiku 3.5 scores higher on the Capabilities Index (ECI): Claude Haiku 3.5 127.2 (#134 of 148), GPT-4o mini 126.6 (#135 of 148) and Llama-3.1-70B-Instruct 125.9 (#136 of 148). The confidence ranges of the top two overlap (120.7–129.7 vs 120.5–128.5), so treat the gap as small. On individual benchmarks: GPQA Diamond — Llama-3.1-70B-Instruct 44.2%, Claude Haiku 3.5 38.1%, GPT-4o mini 37.7%; OTIS Mock AIME 2024–2025 — GPT-4o mini 6.9%, Claude Haiku 3.5 4.3%, Llama-3.1-70B-Instruct 3.6%.
Which is better for coding?
There are no published SWE-bench Verified results for Llama-3.1-70B-Instruct, Claude Haiku 3.5 and GPT-4o mini yet, so there is no like-for-like coding score. On overall capability, Claude Haiku 3.5 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?
Claude Haiku 3.5 has the largest context window at 200,000 tokens, against 128,000 for Llama-3.1-70B-Instruct and 128,000 for GPT-4o mini. Maximum output per response: Llama-3.1-70B-Instruct up to 4,096, Claude Haiku 3.5 up to 8,192, GPT-4o mini up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Llama-3.1-70B-Instruct accepts text; Claude Haiku 3.5 accepts text, images and PDFs; GPT-4o mini accepts text, images and PDFs. Claude Haiku 3.5 handles the widest range of inputs.
Are any of these open source?
Llama-3.1-70B-Instruct publishes its weights and can be self-hosted; Claude Haiku 3.5 and GPT-4o mini is proprietary.
Which is newer?
Claude Haiku 3.5 is the newest, released Oct 22, 2024. Llama-3.1-70B-Instruct came out Jul 23, 2024; GPT-4o mini came out Jul 18, 2024. Knowledge cutoff: Llama-3.1-70B-Instruct Dec 2023, Claude Haiku 3.5 Jul 31, 2024, GPT-4o mini Sep 2023.
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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