Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Mistral 7B Instruct | Granite 4.0 H Small |
|---|---|---|
| Input ($/M tokens) | $0.25 | $0.06 |
| Output ($/M tokens) | $0.25 | $0.25 |
Verdict. Granite 4.0 H Small takes the aggregate benchmark matchup 1–0 across 1 categories. Real workloads usually care about a handful of specific tasks — see the per-benchmark table above.
Pricing. Both models sit in the budget bracket for output-token pricing. At 1.0× the per-million-token cost, Granite 4.0 H Small is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Granite 4.0 H Small makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Mistral 7B Instruct is strongest on Intelligence Index (1.7). Granite 4.0 H Small leads on Intelligence Index (4.9).
Speed. On throughput, Mistral 7B Instruct generates tokens at 110 tok/s versus 10 tok/s — about 91% faster. On time-to-first-token, Mistral 7B Instruct responds in 740ms vs 50610ms, which matters most for chat-style UIs.
Provider. Mistral and IBM sell to overlapping but distinct developer audiences: Mistral tends to ship frontier reasoning models with premium positioning, while IBM often prices more aggressively. Your existing vendor relationships, billing, and SLA preferences may matter as much as the raw numbers above.
Workload cost. Workload scenarios (per million requests at 30M input + 15M output tokens): Mistral 7B Instruct costs $11.25 ($135/year); Granite 4.0 H Small costs $5.55 ($67/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Mistral 7B Instruct ≈ $1.75/run, Granite 4.0 H Small ≈ $0.80/run. At agent/realtime scale (200M input / 100M output per million requests): Mistral 7B Instruct ≈ $75/run, Granite 4.0 H Small ≈ $37/run. Granite 4.0 H Small becomes more attractive at higher volume — the absolute per-token pricing difference compounds when you ship at scale.
Recommendation. Both models have legitimate use cases — the right answer depends on whether you are optimizing for benchmark ceiling, latency, or unit cost. Start with the cheaper / faster model, evaluate against your specific task, and only switch if the upgrade shows a meaningful lift.
Head-to-head deltas
Data from Artificial Analysis API — 12 benchmarks
Granite 4.0 H Small is cheaper overall. Its blended price (3:1 input/output ratio) is $0.11/M tokens vs $0.25/M for Mistral 7B Instruct.
Granite 4.0 H Small wins 1 out of 12 benchmarks compared to 0 for Mistral 7B Instruct. See the detailed benchmark chart above for per-category results.
Mistral 7B Instruct generates tokens faster at 110 tok/s vs 10 tok/s. Mistral 7B Instruct also has lower time-to-first-token (0.74s vs 50.61s).
Choose based on your priorities: Granite 4.0 H Small for lower cost, Granite 4.0 H Small for stronger benchmark performance, and Mistral 7B Instruct for faster generation. For latency-sensitive apps, check the TTFT comparison above.