Mistral Large vs Claude Haiku 3.5 vs Gemma 2 27B
Too close to call on our weighted score (Claude Haiku 3.5 46, Mistral Large 44, Gemma 2 27B 35). The right pick depends on what you value most.
Mistral AIMistral Large
44/100- ECI122.0
- Price$0.50 / $1.50
- Context128K
AnthropicClaude Haiku 3.5
46/100- ECI127.0
- Price$0.80 / $4.00
- Context200K
GoogleGemma 2 27B
35/100- ECI122.1
- Price$0.65 / $0.65
- Context8K
Too close to call
It is close. Our weighted score puts them within 2 points (Claude Haiku 3.5 46/100, Mistral Large 44/100, Gemma 2 27B 35/100), so choose by what matters most for your work: Claude Haiku 3.5 for raw capability and Gemma 2 27B on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityClaude Haiku 3.5Capabilities Index (ECI): Claude Haiku 3.5 127.0 · Gemma 2 27B 122.1 · Mistral Large 122.0
- Lowest priceGemma 2 27BGemma 2 27B $0.65 · Mistral Large $0.75 · Claude Haiku 3.5 $1.60 per 1M tokens (3:1 blend)
- Longest contextClaude Haiku 3.5Claude Haiku 3.5 200,000 · Mistral Large 128,000 · Gemma 2 27B 8,192 tokens
- Widest inputsClaude Haiku 3.5Mistral Large: Text, PDFs · Claude Haiku 3.5: Text, Images, PDFs · Gemma 2 27B: Text
- Self-hostingGemma 2 27BPublishes downloadable weights
| Measure | Weight | Mistral Large | Claude Haiku 3.5 | Gemma 2 27B |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 42 | 48 | 42 |
| Price | 25% | 53 | 38 | 56 |
| Inputs & features | 15% | 45 | 60 | 0 |
| Context window | 10% | 24 | 32 | 0 |
| Overall | 100% | 44/100 | 46/100 | 35/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Mistral LargeMistral AI | Claude Haiku 3.5Anthropic | Gemma 2 27BGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 122.0 | 127.0 (best) | 122.1 |
| ECI rank | #153 of 165 | #147 of 165 (best) | #152 of 165 |
| GPQA DiamondGraduate-level science questions | 38.8% (best) | 38.1% | 36.5% |
| OTIS Mock AIME 2024–2025Competition mathematics | 1.9% | 4.3% (best) | 1.4% |
| Price per million tokens | |||
| Input | $0.50 (best) | $0.80 | $0.65 |
| Output | $1.50 | $4.00 | $0.65 (best) |
| Cached input | $0.05 | — | — |
| Blended (3:1) | $0.75 | $1.60 | $0.65 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Mistral API | Median of 3 providers | Median of 3 providers |
| Limits | |||
| Context window | 128,000 tokens | 200,000 tokens (best) | 8,192 tokens |
| Max output | 102,400 tokens (best) | 8,192 tokens | 2,048 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | Yes | Yes | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | No |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Open |
| API model ID | mistral-large-latest | — | — |
| API providers | 11 (best) | 4 | 3 |
| Released | Feb 26, 2024 | Oct 22, 2024 | Jul 13, 2024 |
| Knowledge cutoff | Nov 30, 2024 | Jul 31, 2024 | Jun 30, 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Mistral Large$8.00
- Claude Haiku 3.5$16.00
- Gemma 2 27B$7.80
Which should you choose?
Which is better: Mistral Large, Claude Haiku 3.5 or Gemma 2 27B?
It is close. Our weighted score puts them within 2 points (Claude Haiku 3.5 46/100, Mistral Large 44/100, Gemma 2 27B 35/100), so choose by what matters most for your work: Claude Haiku 3.5 for raw capability and Gemma 2 27B on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Mistral Large, Claude Haiku 3.5 or Gemma 2 27B?
Gemma 2 27B is cheaper at $0.65 input / $0.65 output per million tokens (median across 3 API providers). Mistral Large costs $0.50 input / $1.50 output per million tokens (official Mistral API price); Claude Haiku 3.5 costs $0.80 input / $4.00 output per million tokens (median across 3 API providers). At a typical mix of three input tokens to one output token, that is $0.65 per million tokens for Gemma 2 27B versus $0.75 for Mistral Large (1.2× as much) and $1.60 for Claude Haiku 3.5 (2.5× as much).
Which scores higher on benchmarks?
Claude Haiku 3.5 scores higher on the Capabilities Index (ECI): Claude Haiku 3.5 127.0 (#147 of 165), Gemma 2 27B 122.1 (#152 of 165) and Mistral Large 122.0 (#153 of 165). The confidence ranges of the top two overlap (121.4–129.2 vs 115.8–124.1), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mistral Large 38.8%, Claude Haiku 3.5 38.1%, Gemma 2 27B 36.5%; OTIS Mock AIME 2024–2025 — Claude Haiku 3.5 4.3%, Mistral Large 1.9%, Gemma 2 27B 1.4%.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Large, Claude Haiku 3.5 and Gemma 2 27B 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. Note that Gemma 2 27B does not support tool calling, which most coding agents need.
Which has the bigger context window?
Claude Haiku 3.5 has the largest context window at 200,000 tokens, against 128,000 for Mistral Large and 8,192 for Gemma 2 27B. Maximum output per response: Mistral Large up to 102,400, Claude Haiku 3.5 up to 8,192, Gemma 2 27B up to 2,048 tokens.
Which can read images, PDFs, audio or video?
Mistral Large accepts text and PDFs; Claude Haiku 3.5 accepts text, images and PDFs; Gemma 2 27B accepts text. Claude Haiku 3.5 handles the widest range of inputs.
Are any of these open source?
Gemma 2 27B publishes its weights and can be self-hosted; Mistral Large and Claude Haiku 3.5 is proprietary.
Which is newer?
Claude Haiku 3.5 is the newest, released Oct 22, 2024. Gemma 2 27B came out Jul 13, 2024; Mistral Large came out Feb 26, 2024. Knowledge cutoff: Mistral Large Nov 30, 2024, Claude Haiku 3.5 Jul 31, 2024, Gemma 2 27B Jun 30, 2024.
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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